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List of Publications
(Some of the following papers can be downloaded here)
Books and Chapters (9)  

Journals

2004 - 2000 (11)
1999 - 1995 (14)
1994 - 1990 (18)
1989 - 1984 (5)
Refereed International Conferences 2004 - 2000 (25)
1999 - 1995 (36)
1994 - 1990 (40)
1989 - 1984 (6)
Australian Conferences and Research Reports 1999 - 1995 (6)
1994 - 1990 (11)
1989 - 1984 (19)

Books and Chapters:

  1. PALANISWAMI, M, CHANDRASEKHAR, B., VINAYAGAMURTHY, G.K, KHANTSALA, M., and MOHAN (Editors). IEEE Proc. International Conference on Intelligent Sensing and Information processing, IEEE Press, NY, 2004.

  2. PARK, L., PALANISWAMI, M., and KOTAGIRI, R.- A novel Web text mining method using the Discrete Cosine Transform, Principles of Data Mining and Knowledge Discovery, Eloma, T, Mannila, H., Toivonen, H. August 2002, No:2431 in Lecture Notes in Artificial Intelligence, pp. 385-396 (2002).

  3. PARK, L., PALANISWAMI, M., and KOTAGIRI, R. – Internet Document Filtering using Fourier Domain Scoring, in Principles of Data Mining and Knowledge Discovery,Luc De Raedt and Arno Siebes, Eds.  Pages 362-372, Lecture Notes in Artificial Intelligence (No: 2168), Springer Verlag, 2001.

  4. CHAK, C. K., FENG. G. and PALANISWAMI, M. - Implementation of Fuzzy Systems, Chapter in a Book on Fuzzy Logic and Expert Systems Applications, Editor: Leondes, Academic Press, ISBN: 0124438660, November, 1997.

  5. PALANISWAMI, M.  ATTIKIOUZEL, Y., MARKS, R., FOGEL, D. and FUKUDA, T., (Editors) Computational Intelligence: A Dynamical System Perspective, IEEE Press, 1995, USA. ISBN: 078031182-5.

  6. CRAIG, G., KRISHNAMOORTHY, M. and PALANISWAMI, M. - Comparison of Heuristic Algorithms for the Degree Constrained Minimum Spanning Tree, Chapter 6 (pp. 83-96), in the book on Meta Heuristics: Theory and Applications, edited by Ibrahim H. Osman and James P. Kelly, Kluwer Academic Publishers,1996.

  7. LAJBCYGIER, P, FLITMAN, A, and PALANISWAMI, M.– Hybrid Option Pricing with an Optimal Weighted Standard Deviation, Chapter 9, pp 191-211, in Commerce, Complexity and Evolution, Cambridge University Press.

  8. TISSAINAYAGAM D, PALANISWAMI, M and EVERITT, D.– Dynamic Channel Assignment Schemes Using Neural Networks, Chapter 17, pp. 449-478, in Computational Intelligence in Telecommunications Networks, CRC Press.

  9. OWEN, B. and PALANISWAMI, M.- Automatic Ship Classification using Support Vector Machines, in Design and Application of Hybrid Intelligent Systems, pp. 545-552, Editors: . Abraham, A., Koppen, M, and Franke, K.IOS Press, ISSN 0922-6389.

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Journals 2004 - 2000 (11)

1999 - 1995 (14)                1994 - 1990 (18)                1989 - 1984 (5)

  1. Tay, D.B.H. and Palaniswami, M.- A Novel Approach to the Design of the class of Triplet Halfband Filter Bank, Accepted for Publication in the IEEE Trans. on Circuits and Systems II: Analog and Digital Signal Processing, 2004. (JIF - 0.5)

  2. Rubinstein, B., McAuliffe, J., Cawley, S., Speed, T., Palaniswami, M., Kothagiri, R : -Machine Learning in low level Microarray Analysis, Accepted for Publication in the Special Issue on Microarray Data Mining, SIGKDD Explorations. (in Press) (2004) (JIF - )

  3. Park L.A., Kotagiri, R., and Palaniswami, M. - Fourier Domain Scoring: a novel document ranking method, Accepted for publication in IEEE Trans. on Knowledge and Data Engineering, 2004. (JIF - 0.62)

  4. Chiang, M., Manzie, C., Palaniswami, M. and Watson, H – Estimation of the Stoichiometric Air-Fuel Ratio in Liquefied Petroleum Gas-Injected Engines, SAE 2002 Transactions – Journal of Fuel and Lubricants. (First appeared as SAE Paper 2002-01-2738, SAE Power Train and Fluid Systems Conference, San Diego, USA, October 2002), 2002. (JIF - )

  5. Wang W. H., Palaniswami, M. and Low, S. H., - Optimal flow control and routing in multi-path networks, Performance Evaluation,  Vol. 52,  Issue: 2-3, pp. 119-132,  (Top 10 Most Down Loaded paper), 2003. (JIF - 0.632)

  6. Manzie, C., Palaniswami, M., Ralph, D., Watson, H., and Yiao, X.- Model Predictive Control of a Fuel Injection System with a Radial Basis Function Network Observer, ASME Journal of Dynamic Systems, Measurement and Control, pp648-658, December 2002. (JIF - 0.22)

  7. Brennan, M., Palaniswami, M. and Kamen, P. - Poincare plot interpretation using a physiological model of HRV based on a network of oscillators, American Journal of Physiology, Heart Circ Physiol, Vol 283, pp. H1873-H1886, Nov. 2002. (JIF – 3.0)

  8. Panchapakesan, C., Palaniswami, M., Ralph. D. and Manzie, C.  – Effects of Moving the Centres in an RBF Network, IEEE Trans. on Neural networks, Vol.13, No: 6, pp.1299-1307, Nov.2002. (JIF - 1.5)

  9. Manzie, C., Palaniswami, M., and Watson, H. - "Gaussian Networks for Fuel Injection Control," Proceedings of the Institute of Mechanical Engineers: Part D Journal of Automobile Engineering, vol. 215, pp. 1053-1068, 2001. . (JIF - 0.25)

  10. Brennan, M., Palaniswami, M. and Kamen, P. - Distortion Properties of the Interval Spectrum of IPFM Generated Heartbeats for Heart Rate Variability Analysis, IEEE Trans. on Biomedical Engineering, Vol. 48, No. 11, pp. 1251-1264, November 2001. . (JIF - 0.98)

  11. Brennan, M., Palaniswami, M. and Kamen, P. - Do Existing Measures of Poincare Plot Geometry Reflect Nonlinear Features of Heart Rate Variability?, IEEE Trans. On Biomedical Engineering, Vol. 48, No. 11, pp. 1342-1347, November 2001. . (JIF - 0.98)

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Journals 1999 - 1995 (14)

2004 - 2000 (11)               1994 - 1990 (18)                1989 - 1984 (5)

 

  1. SMITH, K., PALANISWAMI, M and KRISHNAMOORTHY, M.- Solving Combinatorial Optimisation Problems Using Neural Networks, IEEE Transactions on Neural Networks, Nov. 1998. (JIF - 1.5)

  2. ZHIHONG, M., WU, H.R  and PALANISWAMI, M. - An Adaptive Tracking Controller Using Neural Networks for a class of Nonlinear Systems, IEEE Trans on Neural Networks, Vol. 9, No.5, pp. 947 - 955, September, 1998. . (JIF - 1.5)

  3. TISSAINAYAGAM, D., EVERITT, D. and PALANISWAMI, M. - Feedback Neural Network Implementation of Channel Packing Algorithms in Micro-Cellular Cordless Telephony, Australian Journal of Intelligent Information Processing Systems, pp. 18- 23, 1998. (JIF - )

  4. SMITH, K. AND PALANISWAMI, M. - Static and Dynamic Channel Assignment using Neural Networks, IEEE Journal on Selected Areas in Communications, Vol. 15, No:2, pp.238-249,  1997.(JIF - 1.11)

  5. SMITH, K., KRISHNAMOORTHY, M. AND PALANISWAMI, M. - Neural Versus Traditional Approaches to the Location of Interacting Hub Facilities, Location Science, Vol.4, No:3, pp. 155 -171, 1996. (JIF - )

  6. ANDREW, L. AND PALANISWAMI, M. - A Unified Approach to Selecting Optimal Step Lengths for Adaptive Vector Quantisers, IEEE Trans on Communications, Vol. 44, pp. 434-439, April 1996. (JIF - 0.85)

  7. ANDREW, L. AND PALANISWAMI, M. - Neural Networks for Image Coding: A Review, Austral. J. Intell. Info. Processing Systems, Vol. 2, No.4, pp. 10-19, 1996. . (JIF - )

  8. CHANDRASEKARAN, V., PALANISWAMI, M., AND CAELLI, T. - Range Image Segmentation by a Dynamic Neural Network Architecture, Pattern Recognition Journal, Vol. 29, pp. 315 - 329, Feb. 1996. (JIF - 0.82)

  9. SMITH, K., PALANISWAMI, M. AND KRISHNAMOORTHY, M. - Traditional Heuristic versus Hopfield Neural Network Approaches to a Car Sequencing Problem, European Journal of Operations Research (Special Issue), Vol. 93, No:2, pp. 300-316, Sept. 1996. (JIF - 0.36)

  10. SMITH, K., PALANISWAMI, M. AND KRISHNAMOORTHY, M. - A Hybrid Neural Approach to Combinatorial Optimisation Problems, Computers and Operations Research Journal (Special Issue), Vol. 23, pp. 597-610, June 1996. (JIF - 0.43)

  11. LAJBCYGIER, P., BOEK, C., FLITMAN, A.  AND PALANISWAMI, M. - Comparing Conventional and Artificial Neural Network Models for the Pricing of Options on Futures, NeuroVest Journal, pp. 16-24, September, 1996. (JIF - )

  12. ZHIHONG, M. AND PALANISWAMI, M. - Robust Decentralised Three Segment Nonlinear Sliding Mode Control for Rigid Robotic Manipulators, International Journal of Adaptive Control and Signal Processing, Vol. 9, pp.  443-457, 1995. . (JIF - 0.28)

  13. CHANDRASEKARAN, V., PALANISWAMI, M AND CAELLI, T. - Spatio-Temporal Feature Map’s using Gated Neuronal Architecture, IEEE Trans. on Neural Networks, Vol. 6, pp. 1119-1131, September 1995. . (JIF - 1.5)

  14. ZHIHONG, M. AND PALANISWAMI, M. - A Robust Tracking Control Scheme for Rigid Robotic Manipulators with Uncertain Dynamics, Computers &Electrical Engineering Journal., Vol. 21, No. 3, pp. 211-220, 1995. . (JIF - 0.07).

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Journals 1994 - 1990 (18)

2004 - 2000 (11)                 1999 - 1995 (14)                 1989 - 1984 (5)

  1. Feng, G., Zhang, C. and PALANISWAMI, M. -  Stability of Input Amplitude Constrained Adaptive Pole Placement Control Systems,  Automatica, Vol. 30, No. 5,  pp. 1065 - 1070 (1994). (JIF - 0.88)

  2. Zhihong, M. and Palaniswami, M. - Robust Tracking Control for Robotic Manipulators with Systems Uncertainties, IEEE Trans. Auto. Control, Vol. 39, No:1, pp. 156 - 159 (1994).)(JIF - 1.03)

  3. Chan, P.T.C. H., PALANISWAMI, M., and Everitt, D. - Neural Network Based Dynamic Channel Assignment for Cellular Mobile Communication Systems,  IEEE Trans. Vehicular Technology, Vol. 43, No.2, pp. 279-288 (1994). (JIF - 0.47)

  4. Feng, G. and PALANISWAMI, M. - Robust Direct Adaptive Controllers with a New Normalisation Technique, IEEE Trans. Auto Control, Vol. 39, No: 11, pp 2330-2334, 1994. (JIF - 1.03)

  5. Palaniswami, M. - Adaptive Internal Model for Disturbance Rejection and Control,  in Proc. IEE - Part D, Vol. 140, No:1, pp. 51-59, (1993). ). (JIF - 0.47)

  6. Feng, G. and Palaniswami, M. - Adaptive Control of Robot Manipulators in Task Space, IEEE Trans. Auto. Control, Vol. 38, No 1, pp. 100 - 104, (1993). (JIF - 1.03)

  7. Zhihong, M. and Palaniswami, M. - An Improved Variable Structure Model Following Control for Robotic Manipulators, Int. Journal of Adaptive Control and Signal Processing, Vol. 7, pp 539-562 (1993). (JIF - 0.28)

  8. Feng, G. and Palaniswami, M. - Continuous Time Indirect Adaptive Control with Disturbance Rejection, Systems and Control Letters, Vol. 18, No: 3, pp. 211-215 (1992). (JIF - 0.69)

  9. Feng, G., Palaniswami, M.,and Zhu, Y.- Stability of Rate Constrained Robust Pole Placement Adaptive Control Systems, Systems and Control Letters,Vol.18, pp. 99-107(1992a)(JIF - 0.69)

  10. Feng, G and Palaniswami, M.- A Stable Adaptive Implementation of Internal Model Principle, IEEE Trans.  Automat. Control, Vol. 37, No. 8, pp. 1220-1225 (1992). (JIF - 1.03)

  11. Feng, G. and Palaniswami, M.- Adaptive Control of Partially Known Single-Link Flexible Manipulator,  International Journal of Robotics and Automation, Vol. 7, No. 3, pp. 111 - 116, (1992). (JIF - )

  12. Feng, G. and Palaniswami, M.- An Adaptive Control Algorithm for Disturbance Rejection - Continuous Time Case, IEE Proceedings-D, Vol. 139, No. 2, March, pp. 167-171, (1992). (JIF - 0.47)

  13. Palaniswami, M. and Feng, G - Adaptive Control Algorithms for Disturbance Rejection, Int. Journal. Computers and Electrical Engineering, Vol. 17, No. 1, pp. 31-37, (1991). ). (JIF - 0.07

  14. Feng, G and Palaniswami, M.- A Unified Treatment of Internal Model Principle Based Adaptive Control Algorithms, Int. Journal of Control, Vol. 54, No. 4, pp. 883-901 (1991). (JIF - 0.65)

  15. Feng, G., Zhang, C. and Palaniswami, M.- Stability Analysis of Input Constrained Continuous Time Indirect Adaptive Control Systems, Systems & Control Letters, Vol. 17, pp. 209-215 (1991). ). (JIF -0.69)

  16. Feng, G. and Palaniswami, M. - A Stable Multirate Algorithm for Robust Adaptive Control, Int. Journal of Systems Science, Vol.22, pp.2611-2624 (1991). (JIF - 0.32)

  17. Feng, G. and Palaniswami, M. - A Multirate Adaptive Control Algorithm,  AMSE Journal of  Advances in modelling and Simulation, Vol.26, pp.54-62 (1991). (JIF - )

  18. Anderson, J. H., Palaniswami, M.  and Baker, D. J., - Teaching Multivariable  Control  with CADCS Packages and PC's, Int. Journal on Computers and Education, Vol. 14, No. 3, pp. 205-212 (1990). (JIF - 0.25)

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Journals 1989 - 1984 (5)

2004 - 2000 (11)                 1999 - 1995 (14)                1994 - 1990 (18)               

  1. Pannala, A. S.,  Dransfield, P., Palaniswami, M. and Anderson, J. H., - Controller Design for Multi channel Electrohydraulic System, Trans. of the ASME Journal of Dynamic Systems, Measurement and Control, Vol.  111, pp.  299-306, June (1989). ). (JIF - 0.22)

  2. De Souza, C., Goodwin, G.C., Mayne, D.Q.  and   Palaniswami, M. - An   Adaptive Control Algorithm for Linear Systems having Unknown Time Delay, Automatica, Vol.  24, No:3, 327-341 (1988) (JIF - 0.88)

  3. Goodwin, G.C., Hill, D.J. and Palaniswami, M. - A Perspective on the Convergence of Adaptive Control Algorithms, Automatica,  Vol. 20, No. 5,  pp. 519-531 (1984). ). (JIF - 0.88)

  4. Prabakaran, N. and Palaniswami, M. - A Semantical Database for Analysis and Control of Power Systems, Int. Journal. Computers and Electrical Engineering, Vol.  11, No. 4, pp. 233-238 (1984). (JIF - 0.07)

  5. Palaniswami, M. AND KOTHARI, D.P. - On Dynamic Modelling of Large Scale System, Advances in Modelling and Simulation, AMSE Press,   Vol.1, No.  2, pp. 47-51 (1984). (JIF - )

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International Conferences 2004 - 2000 (26)

1999 - 1995 (36)              1994 - 1990 (40)             1989 - 1984 (6)

  1. Tay, D.B.H and Palaniswami, M.– Design of Approximate Hilbert Transform Pair of Wavelets with Exact Symmetry, Accepted for Presentation and to appear in proceedings of the ICASSP 2004, May 2004, Canada (www.icassp2004.org)

  2. Tay, D.B.H., Marusic, S., Palaniswami, M. and Deng, G – Mathematical Properties of the Two-Parameter Family of 9/7 Biorthogonal Filters, Accepted for Presentation and to appear in Proc. ISCAS 2004, May 2004, Canada (www.iscasa2004.com).

  3. Shilton, A., and Palaniswami, M.- Modified$\nu$-SV Method for Simplified Regression, in Proc. of the International Conference on Intelligent Sensing and Information Processing, published by the IEEE, Jan 4-7, Chennai, 2004.

  4. Lai, D., Mani, N. and Palaniswami, M.- An Extrapolated Sequential Minimal Optimisation Algorithm for Support Vector Machines, In Proc. of International Conference on Intelligent Sensing and Information Processing, IEEE Press, Jan 4-7, Chennai, 2004.

  5. Begg, R., Palaniswami, M., Owen, B., Taylor, S., and Delloro, L. - MFC Histogram and Poincar Plot Images for Automated Gait Detection, in Proc. of International Conference on Intelligent Sensing and Information Processing, IEEE Press, Jan 4-7, Chennai, 2004.

  6. Chandrashekar and Palaniswami, M. – Classification of Multidimensional Trajectories for Acoustic Modeling using Support Vector Machines, Proc. International Conference on Intelligent Sensing and Information Processing, IEEE Press, Jan 4-7, Chennai, 2004.

  7. Marusic S., Tay, D.B.H., Deng, G. and Palaniswami, M.  – A study of Biorthogonal Wavelets in Digital Watermarking, Proceedings of the IEEE International Conference on Image processing – ICIP 2003, Barcelona, September 2003 (cdrom).

  8. Park, L., Kotagiri, R. and Palaniswami, M.– A new Implementation Technique for Fast Spectral based Document retrieval Systems, Proc. of the IEEE International Conference on Data Mining (ICDM 2002), Dec. 2002, Pp. 346-353.

  9. Palaniswami, M., and Shilton, A. – Adaptive Support Vector Machines for Regression (Invited paper), Proc. of the 9th International Conference on Neural Information processing, Singapore, Nov. 18-22, 2002.

  10. Karri, V., Palaniswami, M., and Kiatcharoenpol, T.- Support Vector Machines to Estimate Thrust and Torque in Drilling, in Proc. of Soft computing Workshop, International Conference on High Performance Computing, HiPC02, Bangalore, Dec. 2002.

  11. Wang, W., Palaniswami, M. and Low, S. – Optimal flow control in multirate multicast networks, in Proc. Of the Asian control conference, Singapore, September 2002.

  12. Manzie, C., Palaniswami, M. and Watson, H. - A model predictive approach to disturbance rejection in idle speed control, in proc. of the Asian Control Conference, Singapore, September, 2002.

  13. Manzie, C., Watson, H., and Palaniswami, M. - "Air Fuel Ratio Control in Liquefied Petroleum Gas Injected SI Engines," Proceedings of International Federation for Automatic Control (IFAC '02), Barcelona, Spain, 2002.

  14. Challa, S., Palaniswami, M., and Shilton, A. - “Distributed Data Fusion System Using Support Vector Machines”, FUSION2002, Annapolis, USA, July 2002.

  15. Palaniswami, M. - Financial Risk Opportunity Management using Support Vector Machines, Page 143, Proc. of the Fifth Biannual Conference on Artificial Neural networks and Expert Systems, (Invited Talk) ANNES2001, Duneidan,  22-24, Nov. 2001.

  16. Wang, W. , Palniswami, M., and Low, S. - Flow control in networks with multiple paths,     International Conference on Internet Performance and Control of Network Systems, in Proc. SPIE, Vol. 4523, Denver, Colorado, 21-22 August 2001.

  17. Brennan, M., Palaniswami, M. and Kamen, P. - A New Model-Based Ectopic Beat Correction Algorithm for Heart Rate Variability, Proceedings of the 23rd Annual Conference of the IEEE Engineering and Biology Society, Oct. 25-28, Istabul, Turkey, 2001.

  18. Brennan, M., Palaniswami, M. and Kamen, P. - New Insights into the relationship between Poincare Plot Geometry and Linear Measures of Heart Rate Variability, Proceedings of the 23rd Annual Conference of the IEEE Engineering and Biology Society, Oct. 25-28, Istabul, Turkey, 2001.

  19. Fan, A. and Palaniswami, M. -  A Support Vector Machine Approach for Portfolio Selection, in Proc. of the International Joint conference on Neural Networks, Washington, July 2001.

  20. Shilton, A.,  Palaniswami, M., Ralph, D., and  Tsoi, A.C. - Incremental Training in Support Vector Machines, in Proc. of the International Joint conference on Neural Networks, Washington, July 2001.

  21. Palaniswami, M., De Souza, M, Pellugrini, P.- A Virtual Reality tool for diagnosing Parkinson Disease using machine learning, in Proc. International Conference on Biomedical Engineering, (Keynote Talk Paper) Chennai, January 2001.

  22. Palaniswami, M., Shilton, A., Ralph, D., and Owen B. – Machine learning using support vector machines, International conference on Artificial Intelligence in Science and Technology, Hobart, Australia, December 2000 (Keynote Talk Paper).

  23. Fan, A.,  and Palaniswami, M. -  A new approach to corporate loan default prediction from financial statements, Computational Finance 2000, 31 May – 2 June 2000, London.

  24. Manzie, C., Palaniswami, M., and Watson, H. – Model predictive control of  a fuel injection system with a radial basis function network observer, International Joint Conference on Neural Networks, Como, Italy, July 24-27, 2000.

  25. Fan, A., and Palaniswami, M. – Selecting bankruptcy predictors using a support vector machine approach, International Joint Conference on Neural Networks, Como, Italy, July 24-27, 2000.

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International Conferences 1999 - 1995 (36)

2004 - 2000 (25)               1994 - 1990 (40)                1989 - 1984 (6)

  1. Fan, A., Hong, D., Palaniswami, M., Tan, C. and Scott, C - A Support Vector Machine Approach to Bankruptcy Prediction: A Case Study, in Proc. of the International Conference in Computational Finance, NY, 4 pages, January, 1999.

  2. OWEN, B., PALANISWAMI, M. AND HARRIS, J. - Automated Monitoring of Fish ways, in Proc. of 3rd IEEE International Conference on Intelligent Processing Systems, ICIPS,  pp. 238-242, Gold Coast, Australia, August 1998.

  3. KUMAR, M., PALANISWAMI, M. AND PATNAIK, L. M. - Implementation of Artificial Neural Networks on Distributed Computing Environments, in Proc. of 3rd IEEE International Conference on Intelligent Processing Systems, ICIPS, pp. 535 - 539, Gold Coast, Australia, August 1998.

  4. TISSAINAYAGAM, D., PALANISWAMI, M. AND EVERITT, D. - Computational Complexities of Neural Networks based Dynamic Channel Assignment Algorithms, in Proc. of 3rd IEEE International Conference on Intelligent Processing Systems, ICIPS, pp. 560-564, Gold Coast, Australia, August 1998.

  5. BRENNAN, M., PALANISWAMI, M. AND KAMEN, P. - A Neural System for Heart Rate Variability Analysis, in Proc. of 3rd IEEE International Conference on Intelligent Processing Systems, ICIPS, pp. 123- 127, Gold Coast, Australia, August 1998.

  6. MANZIE, C., PALANISWAMI, M. AND WATSON, H. - A Approach to Fuel Injection Control Using a Radial Function Network, in Proc. IEEE World Conference on Computational Intelligence, Anchorage, Alaska, pp. 986-990, May, 1998.

  7. PANCHAPAKESAN, C., RALPH, D, AND PALANISWAMI, M. - Effects of Moving Centers in an RBF Network, in Proc. IEEE World Conference on Computational Intelligence, Anchorage, Alaska, pp. 1256-1260, May, 1998.

  8. Zhang, Y., Wen, C., Chai Soh, Y., Manzie, C., and Palaniswami, M. - Adaptive back stepping control by neural networks. MTNS-98 Symposium, Padova, Italy, 1998

  9. BRENNAN, M., PALANISWAMI, M. and KAMEN, P.W. - A New Cardiac Nervous System Model for Heart Rate Variability Analysis, Proc. of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol. 20., No.1, pp. 349 - 352, Hong Kong, October, 1998.

  10. MANZIE,C. PALANISWAMI, M. and WATSON, H. - Model Predictive Control of a Fuel Injection System using a CMAC Neural Network, Fifth International Conference on Control, Automation, Robotics and Vision, ICARCV98, Singapore, 4pages, December, 1998.

  11. PANCHAPAKESAN, C., RALPH, D. AND PALANISWAMI, M. - Locating the Centers in an RBF Network, Proceedings of IEEE, Tencon’98, New Delhi, pp. 234-237, Dec. 1998.

  12. TISSAINAYAGAM, D., Everitt, D.  and Palaniswami, M.- A Performance Comparison of Neural Network Based Dynamic Channel Assignment in Cellular Mobile Radio Systems, in Proc. of IEEE Singapore International Conference on Networks (SICON'97), pp. 181-196, Singapore, Apr. 1997.

  13. TISSAINAYAGAM, D., Everitt, D.  and Palaniswami, M. - A Neural Network Driven Solution to a Channel Assignment Problem in Wireless Telephony, in Proc.of the International Conference on Neural Networks (ICNN'97), Vol.1, pp. 133-137, Houston, June 1997.

  14. TISSAINAYAGAM, D., Everitt, D.  and Palaniswami, M. - Mosaic Learning: A New Algorithm for Self-Organising Neural Networks to Learn Dynamic Channel Assignment Schemes, accepted for International Conference on Neural Information Processing (ICONIP'97), Dunedin, Nov. 1997.

  15. TISSAINAYAGAM, D., Everitt, D.  and Palaniswami, M. - Self-Organising Feature Map Implementation of the Random Channel Search Algorithm, accepted for Asia-Pacific Conference on Communications (APCC'97), Sydney, Dec. 1997.

  16. LAJBCYGIER, P., FLITMAN, A.  AND PALANISWAMI, M. - A Hybrid Non-Parametric Approach to the Intraday Pricing of Options on Futures using Implied Volatility, Commerce, Complexity & Chaos, UNSW, Feb 1996. to be Published as a proceedings by Cambridge university Press, 1997.

  17. LAJBCYGIER, P., FLITMAN, A.  AND PALANISWAMI, M. - A Comparison of Neural Network and Conventional Statistical Methods for the Pricing of Intraday Options on Futures Using Implied Volatility, Proc. NNCM’96, Caltech, Pasadena, USA, Nov. 1996.

  18. SUTHIIKSHN KUMAR, C.R., PALANISWAMI, M. AND FORWARD, K. - Performance Evaluation of a RISC Neuro-Processor for Neural Networks, Proc. 3rd International Conference on High Performance Computing (HIPC96), Trivandrum, India, Dec. 1996.

  19. DINGLI, R., WATSON, H., PALANISWAMI, M. AND GLASSON, N. - Adaptive Air-Fuel Ratio Optimisation of a Lean Burn SI Engine, Proc. SAE International Spring Fuels & Lubricants Meeting, pp. 79-86, Dearborn, USA., May 1996.

  20. SUTHIKSHN KUMAR, C.R., PALANISWAMI, M. AND FORWARD, K.- A review of Design Aspects for Neuro Computers, Australia New Zealand conference on Intelligent Information Processing  Systems (ANZIIS96), Adelaide, Dec. 1996.

  21. SUTHIKSHN KUMAR, C.R., PALANISWAMI, M. AND FORWARD, K.- A Fast Multiplier Generator for FPGA’s, Proc. Eighth International Conference on VLSI Design, New Delhi, India, pp. 53-56, 1995.

  22. Feng, G., PALANISWAMI, M., Han, Z. X. and Chak, C. K. - Tracking Improvement for Stable Robot Control using Neural Networks, , Proc. IEEE Int. Conf on Neural Networks, ICNN95, pp. 2391-2396, November, 1995

  23. CHANDRASEKARAN, V. PALANISWAMI, M. AND CAELLI, T.- Pattern Recognition by Topology Free Spatio Temporal Feature Map, in Proc. IEEE Int. Conference on Systems, Man, and Cybernetics, pp. 1136-1141, Vancouver, Canada, 1995.

  24. MORGAN, T.J., AUSTIN, T., LIU, Z., AND PALANISWAMI, M.- Automatic Estimation of Age at Death from Human Bone Cross-Sections using Neural Networks, Proc. IEEE Int. Conf on Neural Networks, ICNN95, pp. 22-26, November, 1995.

  25. ZHIHONG, M., ESHRAGHIAN, K.  WU, K. R.,  AND PALANISWAMI, M. -  An Adaptive Tracking Controller Using Neural Networks for Nonlinear Systems, Proc. IEEE Int. Conf on Neural Networks, ICNN95, pp. 314-319, November, 1995.

  26. ZHIHONG, M., ESHRAGHIAN, K.,  AND PALANISWAMI, M - An Adaptive Supervisory Controller for Nonlinear Fuzzy Logic Control Systems, Proc. IEEE Australia- New Zealand Conference on Intelligent Information Processing Systems, 6 pages, November, 1995.

  27. ZHIHONG, M.,YU, X.H., ESHRAGHIAN, K. AND PALANISWAMI, M. - A Robust Adaptive Sliding Mode Tracking Control using an RBF neural Network for Robotic manipulators,  Proc. IEEE International Conference on Neural Networks, ICNN95, pp. 2403 - 2408, November, 1995.

  28. SUTHIKSHN KUMAR, C.K., FORWARD, K. AND PALANISWAMI, M. - An Experimental Evaluation of Neural Network Approach to Circuit Partitioning, Proc. IEEE Int. Conf on Neural Networks, ICNN95, 569-574, November, 1995.

  29. SUTHIKSHN KUMAR, C.K., FORWARD, K. AND PALANISWAMI, M. - An Object Oriented Neural Network Generator for FPGAs, ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Monterey, USA, 1995.

  30. BOEK, C. LAJBCYGIER, P., PALANISWAMI, M., AND FLITMAN, A. - A Hybrid Neural Network Approach to the Pricing of Options, Proc. IEEE Int. Conf on Neural Networks, ICNN95, pp. 813-817, November, 1995.

  31. CHANDRASEKARAN, V. LIU, Z., AND PALANISWAMI, M. - Fuzzy Gated Neuronal Architecture for Pattern Recognition, Proc. IEEE Int. Conf on Neural Networks, ICNN95, pp. 1622-1627, November, 1995.

  32. ANDREW, L. AND PALANISWAMI, M. - A New Adaptive Image Sequence Coding Scheme Using Kohonen's SOFM, Proc. IEEE Int. Conf on Neural Networks, ICNN95, 2071-2076, November, 1995.

  33. CRAIG, G., KRISHNAMOORTHY, M. AND PALANISWAMI, M.- A Comparison of heuristic algorithms for the degree constrained minimum spanning tree, Meta Heuristics international Conference, Colorado, USA, pp. 266-272,  July 1995.

  34. NANDAGOPAL, D., PALANISWAMI, M., MARTIN, N. AND MORGAN, T.- Feature Extraction and Classification of Radar Targets using Neural Networks, in Proc. SPIE Conf. on the Applications and Science of Artificial Neural Networks VI, April, 1995.

  35. PALANISWAMI, M., MORGAN, T., NANDAGOPAL, D. AND MARTIN, N. - Radar Signal Processing Using Neural Networks, in Proc ETD 2000 Conference, Adelaide, May 1995.

  36. LAJBCYGIER, P., BOEK, C., PALANISWAMI, M. AND FLITMAN, A.- Neural Network Pricing of All Ordinaries SPI Options on Futures, Neural Networks in Capital Markets,  pp.64-77, London, 1995, World Scientific, Refenes A. P. (ed.) , Also in Proc. International Conference on Capital Markets, London, October, 1995.

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International Conferences 1994 - 1990 (40)

2004 - 2000 (25)               1999 - 1995 (36)                 1989 - 1984 (6)

  1. Chandrasekaran, V.,  Palaniswami, M. and Caelli, T. - Invariant Property of Spatio-Temporal Feature Maps using Gated Neuronal Architecture, in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP94, pp. 609 - 612, Adelaide, 1994.

  2. NANDAGOPAL, D., Martin, N., Johnson, R.P., lozo, P, AND Palaniswami, M.- Performance of Radar Target Recognition Schemes using Neural Networks:: A Comparative Study, in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP94, pp. 641-644, Adelaide, 1994.

  3. Zhihong, M. and PALANISWAMI, M.- A Robust  Decentralized Variable Structure Model Following Control for Rigid Robotic Manipulators, Proc. First Asian Control Conference, paper no: TE-09-2, pp. 599 - 602, Tokyo, July 27 - 30, (1994).

  4. Zhihong, M. and PALANISWAMI, M. - Parameter Estimation of Continuous Linear Time Invariant systems Using Functional Approximation, Proc. First Asian Control Conference, paper no: SP-06-3, pp. 603 - 606, Tokyo, July 27 - 30, (1994).

  5. Chandrasekaran, V.,  Palaniswami, M. and Caelli T. - Temporal Feature Extraction By Sparse Decomposition of Range Images Using Gated Neurons, in Proc. IEEE Conference on Neural Networks, Orlando, USA., June 26 - July 2, pp. 4033-4037 (1994).

  6. Andrews, L. and Palaniswami, M - A study on the Effect of Neighbourhood Functions for Noise Robust Vector Quantisers, in Proc. IEEE Conference on Neural Networks, Orlando, USA. June 26 - July 2, pp. 4159-4163 (1994).

  7. Terrill, S., Everitt, D. and Palaniswami, M.- Neural Networks for Limited Channel Rearrangement in Cellular Mobile Communication Systems, in Proc. IEEE Conference on Neural Networks, Orlando, USA., June 26 - July 2, pp. 3592-3596 (1994).

  8. Dingli, R., Watson, H.C., Palaniswami, M. and Milkins, E. - Adaptive Control of Air-Fuel Ratio for Optimizing the Fuel Efficiency of a Lean Burn Natural Gas Engine, in Proc. FISITA Conference, Beijing (1994).

  9. Chaiswankit, U., Zhang, C., and Palaniswami, M.- Stable Hybrid Adaptive Pole Assignment Control, Proc. IFAC World Congress, Sydney, Australia, pp. 21-24 (1993).

  10. Chandrasekaran, V., Palaniswami, M., and Caelli, T. - Gradient Computation in Time Delayed Recurrent Neural Network with Memory for Static Input-Output Mapping under Stability Constraint,  Proc. IEEE International Conference on Neural Networks, San Francisco, USA, pp. 851 - 856, (1993).

  11. Chandrasekaran, V., Palaniswami, M., and Caelli, T.- An Extended Self-Organizing Map with Gated Neurons, IEEE International Conference on Neural Networks, San Francisco, USA, pp. 1474 - 1479 (1993).

  12.  Zhihong, M. and Palaniswami, M.- A Robust Adaptive Tracking Controller using Neural Network for a Class of Nonlinear Systems,  in Proc. IEEE First Australia New Zealand Conference on Intelligent Information Systems, Perth, pp. 84-88 (1993)

  13. Burgos, D. and Palaniswami, M. - A Comparative Study of Consumer Loan Application Classification:  Neural Networks versus Rule-Based Systems, in Proc.  IEEE First Australia New Zealand Conference on Intelligent Information Systems, Perth, pp. 226-229 (1993).

  14. Skafidas, E. and Palaniswami, M. - Smooth Prediction using Neural Networks, Proc.  IEEE First Australia New Zealand Conference on Intelligent Information Systems, Perth, pp. 254-257 (1993).

  15. Smith, K., Palaniswami, M., AND KRISHNAMOORTHY, M. - A Hopfield Network Approach to the Car Sequencing Problem, Proc. IEEE First Australia New Zealand Conference on Intelligent Information Systems, Perth, pp. 348-352 (1993).

  16. Palaniswami, M. , Nandagopal, D. and Martin, N. - Automatic Target Recognition using Self-Organising Neural Networks, Proc. IEEE First Australia New Zealand Conference on Intelligent Information Systems, Perth, pp. 580-584 (1993).

  17. Yang, H. and Palaniswami, M. - Convergence of Self-Organizing Nets With High Dimensional Neighbourhood Relation,  International Joint Conference on Neural Networks,  IJCNN'92, Baltimore(USA), pp.347-350 (1992).

  18. Chan, P.T.C.H., Palaniswami, M., and Everitt, D. E. - Feed forward Neural Networks Applications to Dynamic Channel Assignment for Cellular Mobile Communication Systems, Proc. 1992 International Joint Conference on Neural Networks,  IJCNN'92,  Beijing, China, November 3-6, pp. 218-223 (1992).

  19. Zhao, Songe and Palaniswami, M. -  A Multilayer Partial Recurrent Neural Network, Proc. 1992 International Joint Conference on Neural Networks,  IJCNN'92,  Beijing, China, November 3-6, pp. 917-922 (1992).

  20. Thacore, S. and Palaniswami, M. - Codebook Generation Using a Neural Network for Image Compression, Proc. 1992 International Joint Conference on Neural Networks,  IJCNN'92,  Beijing, China, November 3-6, pp. 757-762 (1992).

  21. Zhihong, M. and Palaniswami, M.- A Robust Tracking Control Scheme for Robotic Manipulators with Uncertain Dynamics, in Proc IEEE International Conference on Systems Engineering, Japan, pp. 127-130 (1992).

  22. Zhihong, M. and Palaniswami, M.- A Robust Tracking Controller for Robotic Manipulators, in Proc. IEEE Region 10 Conference, Tencon 92, 11th-13th November, Melbourne, Australia,  pp. 953-957, (1992).

  23. Chandrasekaran, V., Palaniswami, M., CAELLI, T.M.- An Evidence Based Object Recognition System Using Neural networks, IEEE Workshop on Emerging Technologies and Factory Automation, Melbourne, Aug. 11-14, pp. 375-380, (1992).

  24. Dingli, R. and Palaniswami, M. - A Fuzzy Controller for a Multi-Tank System, Proc. IEEE International Workshop on Emerging Technologies and Factory Automation, Melbourne, August 11-14, pp 634-638 (1992).

  25. Zhihong, M. and Palaniswami, M.- Decentralized Three Segment Nonlinear Sliding Mode Control for Robotic Manipulators, in Proc. IEEE International Workshop on Emerging Technologies and Factory Automation, Melbourne, August 11-14, pp. 607-612 (1992).

  26. Feng, G., Palaniswami, M. and Zhu, Y. - Rate Constrained Robust Adaptive Control, in Proc. American Control Conference, Chicago, June 24-26, pp. 1456-1460 (1992b).

  27. Yang, H. and Palaniswami, M. - On the Issue of Neighborhood in Self-Organising Maps, in Proc. 1992 ACM/SIGAPP Symposium on Applied Computing, Vol 1., Kansas City, March 1-3, pp. 412-416 (1992).

  28. Feng, G., Zmood, R. and Palaniswami, M.- A New Adaptive Control Algorithm with Internal Model Principle for Continuous Time Systems, in Proc. Singapore International Conference on Intelligent Control and Instrumentation, Singapore, February 17-21, pp. 210-213 (1992).

  29. Palaniswami, M.  and Feng, G.- Digital Estimation and Control with a New Discrete time Operator, in Proc. 30th IEEE Conference on Decision and Control, Brighton, U.K., pp. 1631-1632 (1992).

  30. Feng, G., Zhang, C. and Palaniswami, M.- Adaptive Pole Placement Control Subject to Input Amplitude Constraint, in Proc. 30th IEEE Conference on Decision and Control, Brighton, U.K., pp. 2493-2498 (1991).

  31. Palaniswami, M. and Prabakaran, N.- Thacore, S. and Subbarao, W.- Signature Verification using Artificial Neural Networks, in Proc of the IEEE TENCON 91 Conference on Computer and Communication Systems, Aug. 28-30, New Delhi, Vol. 2, pp. 149-152 (1991).

  32. Feng, G., Palaniswami, M. and Yao, Y.- Adaptive Tracking Control of Robot Manipulators in Cartesian Space Coordinates, in Proc. 1991 American Control Conference, Boston, pp. 932-937, (1991).

  33. Feng, G. and Palaniswami, M.- Adaptive Control of a Partially Known Single-Link Flexible Manipulator, in Proc. Fifth Int. Conf. on  Advanced Robotics, Pisa, Italy, pp.1784-1787, (1991).

  34. Thacore, S., Pang, V., Palaniswami, M. and Bairaktaris, D.- Image Data Compression Using a Self Organizing Neural Network with Adaptive Thresholds, in Proc International Joint Conference on Neural Networks, Singapore, pp. 646-651 (1991).

  35. Chandresekaran, V., Palaniswami, M. and Caelli, T.- An Object Recognition System using Self Organising Neural Networks, in Proc. International Joint Conference on Neural Networks, Singapore, pp.2582-2587 (1991).

  36. Chan, PTH, Palaniswami, M. and Everitt, D.- Dynamic channel assignment for cellular mobile radio systems using feed forward neural networks, in Proc. International Joint Conference on Neural Networks, Singapore, pp.1242-1247, November (1991).

  37. Pang, V. and Palaniswami, M. - Pattern  Recognition using a Self-Organising Neural Network, in Proc. of the  IEEE Region 10 Conference on Computer and Communication System, Hong Kong, Sep., Vol. 2., pp. 562-566 (1990).

  38. Fok, C.S., DRANSFIELD, P. and Palaniswami, M. -  d'Model Reference Velocity Control of an Air Powered Servo drive, Intl.Conf on Fluid Power, Control and Robotics, Chengdu, China, (1990).

  39. Fok, C.S., Palaniswami, M., Dransfield, P.- An Adaptive Control Algorithm for Robotic Servodrives, in Proc. International Conference on Automation, Robotics and Computer Vision, Singapore, pp. 427-431 (1990).

  40. Feng, G. and Palaniswami, M., - A Stable Adaptive Implementation of Internal Model Principle, in Proc. 29th IEEE Conference on Decision and Control, Hawaii, USA, pp.3241-3246 (1990).

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International Conferences 1989 - 1984 (6)

2004 - 2000 (25)                 1999 - 1995 (36)                1994 - 1990 (40)     

  1. Palaniswami, M., Pang, V., and Feng, G. - Some Issues with the Intelligent Control of Industrial Processes, in Proceedings of the TENCON Region 10 Conference, pp.  1021-1024, Bombay, November (1989).

  2. Palaniswami, M. and Goodwin, G. C. - Disturbance Rejection in Adaptive   Control of Industrial Processes, Proc.  14th Annual Conference of IEEE   Industrial Electronics Society, October, Singapore, 290-296 (1988).

  3. Palaniswami, M., Nguyen, T.Q. and Oxbrow, R. - An Efficient Filter Structure for Edge Detection, Proc.  14th Annual Conference of IEEE    Industrial  Electronics Society,  25-27 October, Singapore, 60-63 (1988).

  4. Carlos de Souza, G.C., Goodwin, M. PALANISWAMI M., AND Mayne, D.Q.- Adaptive Control of Linear Systems with Variable Time Delay, Proc. 10th IFAC  Congress, Munich, Germany, July 26-31  (1987)

  5. Palaniswami, M. and Goodwin, G.C. - An Adaptive Implementation of the   Internal Model Principle, Proc. American Control conference, Minneapolis,     U.S.A.  June 10-12, 600-605 (1987).

  6. Goodwin, G.C., Hill, D.J. and Palaniswami, M. - Towards an Adaptive    Robust Controller, in Proc.7th IFAC Symposium on Identification and Parameter Estimation, York, U.K., pp. 997-1002 (1985).

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Australian Conferences and Research Reports 1999 - 1995 (6)

1994 - 1990 (11)                1989 - 1984 (19)

  1. TISSAINAYAGAM, D., EVERITT, D. AND PALANISWAMI, M. - Hopfield Neural Network Approach to Limited Channel Rearrangement in Cellular Mobile Radio Systems, Proc. Australian Telecommunications and Networks Applications (ATNAC’96),Vol.1, pp. 321-326, Melbourne, Australia, Dec. 1996.

  2. SUTHIKSHN KUMAR, S.K., FORWARD, K.E. AND PALANISWAMI, M. - FPGA Implementation of Hopfield Neural Networks, Proc. Australian Conference on Parallel and Real-time Systems (PART96), Brisbane, Australia, pp. 203-210, 1996

  3. SUTHIKSHN KUMAR, S.K., FORWARD, K.E. AND PALANISWAMI, M.- A Neural Network Approach to Multiple-FPGA Partitioning, Second Australasian Conference on Parallel and Real-Time Systems, Fremantle, Australia, pp. 408-415, Sept. 1995.

  4. Smith, K., Krishnamoorthy, M. and PALANISWAMI, M.- On the Location of Interacting Hub Facilities: Neural Versus Traditional Approaches, Proc. Conference of the Australian Society for Operations Research (ASOR), Canberra, pp. 423-432, 1995.

  5. zhihong, m. and PALANISWAMI, M.- Parameter Estimation of Linear Time Delay Systems using Functional Approximations, Proc. IEE Australia Conference, Control  95, pp. 267-271, Melbourne, 1995.

  6. zhihong, m. and PALANISWAMI, M.- Continuous Time Model Reference Adaptive Control for SISo Time Delay Systems, Proc. IE Aust.,  Control 95, Melbourne, Australia, pp. 459-463, 1995.

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Australian Conferences and Research Reports 1994 - 1990 (11)

 1999 - 1995 (6)                1989 - 1984 (19)

  1. Malin, P.S. and Palaniswami, M.- A Partially Correlated Higher Order Feed forward Neural Network, in Proc. Fifth Australian Conference on Neural Networks, ACNN94, Brisbane, pp. 206-209, February, 1994.

  2. Terrill, S., Palaniswami, M. and Everitt, D.- Feed forward Neural Networks for Limited Channel Rearrangement in Cellular Mobile Communication Systems, in Proc. Fifth Australian Conference on Neural Networks, ACNN94, Brisbane, pp. 246-249, February, 1994.

  3. Skafidas, E. and Palaniswami, M. - A Feed forward Neural Networks with Complex Weights, Proc. of the Fourth Australian Conference on Neural Networks, ACNN93, Melbourne, P.236, (1993).

  4. Terrill, S., Palaniswami, M. and Everitt, D.- Limited Channel Rearrangement in Cellular Mobile Communication Systems using Neural Networks, in Proc. Eighth Australian Telegraphic Research Seminar, ATRS, Melbourne, pp. 80 - 89, (1993).

  5. Smith, K., Krishnamoorthy, M. and Palaniswami, M.- Optimal Sequencing of Car Models Along an Assembly Line,  in the 12th National Conference of Operations Research, Decision Sciences: Tools for Today, Adelaide, July 1993.

  6. Chandrasekaran, V. , Palaniswami, M. and Caelli, T.- HOCAM - A Content Addressable Memory Using Higher Order Neural Networks, Proc. Third Australian Conference on Neural Networks, ACNN92, Canberra,  p. 239 (1992).

  7. Malin, P. and Palaniswami, M.- A Partially Correlated Higher Order Recurrent Neural Network, in Proc. of the Third Australian Conference on Neural Networks, Canberra, pp.45-48, (1992).

  8. Chan, PTH, Palaniswami, M. and Everitt, D.- Dynamic channel assignment for cellular mobile radio systems using self organising neural networks, in Proc. 6th Australian Telegraphic Seminar, Wollongong, November (1991).

  9. Pang, V. and Palaniswami, M. - A Modified Laterally Inhibited Neural Network Model, Proc. First Australian Conference on Neural Networks, Sydney, 29 - 31 January (1990).

  10. Fok, C.S.,  Dransfield, P., and Palaniswami, M.- Model Reference Adaptive Control of an Air Powered Robot Module, 3rd National Conf. on Robotics, Aust. Robotics Assoc., Melbourne, pp. 370-378 (1990).

  11. Palaniswami, M.  and Feng, G. - Adaptive Control Algorithms for Disturbance Rejection, Proc. 4th I.E.  Conference on Control Engineering, Gold Coast, Qld, pp. 95-99, August (1990).

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Australian Conferences and Research Reports 1989 - 1984 (19)

 1999 - 1995 (6)               1994 - 1990 (11)  

  1. Palaniswami, M.  and Pang, V - A Neural Network for Intelligent Control, Australian Symposium on Signal Processing and Applications,  Adelaide, 17-19 April, 254-257 (1989)

  2. Pang, V.  and Palaniswami, M.- Neuron Computing in Control, Conference on Computing Systems and Information Technology,  pp.  254-257, Sydney, August (1989).

  3. Pannala, A.S.,  Palaniswami, M., Dransfield, P., and Anderson, J.H.- Computer Aided Controller Design for Multichannel Electrohydraulic    Systems, in Proc. IEE Conference on Computers and Engineering, Sydney,  pp. 108-112 (1983).

  4. Jamieson, I.D., Anderson, J.H. and Palaniswami, M.- Computer Graphics   for Research and Teaching in Control and Power Systems, in Proc. First   Australian Conference on Computer Graphics,  Sydney, pp. 49-54    (1983).

  5. PALANISWAMI, M., EVANS, R., MALIN, P. AND SKAFIDAS, E.- Application of Neural Nets to automatic Scaling of Oblique Incidence Ionograms, DSTO Research Contract Report, 48 pages (1993).

  6. Chan, PTH, Palaniswami, M. and Everitt, D.- Neural Networks Application for Cellular Mobile Communication System, Research Report No: 6-1991, Department of Electrical Engineering, University of Melbourne (1991).

  7. Chandresekaran, V., Palaniswami, M. and Caelli, T.- Three Dimensional Object Recognition System using Self Organising Neural Networks, Research Report No: 7, November 1991.

  8. Zhihong, M and Palaniswami, M.- A Novel Method for Continuous Time Parameter Estimation using Functional Approximation, Research Report No.7 -1990, Dept.  Of Electrical and Electronic Engineering, The University of Melbourne.

  9. Feng, G. and Palaniswami, M.- Performance Improvement in Adaptive Control with a Linear Operator, Research Report No.  3-1989, Dept.  of Electrical and Electronic Engineering, The University of Melbourne.

  10. Palaniswami, M. - Adaptive Internal Model for Disturbance Rejection and Control, Research Report No.  2-1989, Dept.  of Electrical and Electronic Engineering, The University of Melbourne.

  11. Pang, V. and Palaniswami, M.- A Perspective on the Training of Multilayered  Feed forward Neural Networks with Back Propagation Algorithm, Research Report No.  8- 1990, Dept of Electrical and Electronic Engineering, The University of Melbourne.

  12. Palaniswami, M.- A New Discrete-Time Operator for Digital Estimation and Control, Research Report No.  1-1989, Dept.  Of Electrical and Electronic Engineering, The University of Melbourne.

  13. Zhihong, M and Palaniswami, M.- A Novel Method for Continuous Time Parameter Estimation using Functional Approximation, Research Report No.7 -1990, Dept.  Of Electrical and Electronic Engineering,  The University of Melbourne.

  14. Palaniswami, M.- A New Discrete-Time Operator for Digital Estimation and Control, Research Report No.  1-1989, Dept.  Of Electrical and    Electronic Engineering, The University of Melbourne.

  15. Palaniswami, M.- Adaptive Internal Model for Disturbance Rejection and Control, Research Report No.  2-1989, Dept.  Of Electrical and Electronic   Engineering, The University of Melbourne.

  16. Feng, G. and Palaniswami, M.- Performance Improvement in Adaptive Control with a Linear Operator, Research Report No.  3-1989, Dept. of Electrical and Electronic Engineering, The University of Melbourne.

  17. Palaniswami, M.- Robust Adaptive Control Algorithms, Ph.D. Thesis, University of Newcastle, Australia, (1986).

  18. Palaniswami, M.- Interactive graphics Software for Multivariable Controller Design with a Real-Time Application, M.Eng.Sc. Thesis    University of Melbourne, Melbourne, Australia,  (1983)

  19. Palaniswami, M.- Algorithms for Dynamic Stability Analysis of Multimachine Power Systems, M.E. Thesis, Indian Institute of Science, (1979).

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