Professor Michael Cantoni

Research Interests

  • Automation of water distribution networks
  • Control and signal processing

Personal webpage

http://people.eng.unimelb.edu.au/cantoni/

Biography

Michael Cantoni is a Professor in the Department of Electrical and Electronic Engineering at The University of Melbourne.

Research Interests:
- Mathematical systems theory and control
- Robustness analysis of feedback interconnections
- Distributed control and optimization of networks
- Periodic systems and sampled-data control
- Spatially-distributed and multi-dimensional systems
- Model approximation and validation
- Automation of large-scale irrigation networks

Recent Publications

  1. Dower P, McEneaney WM, Cantoni M. A dynamic game approximation for a linear regulator problem with a log-barrier state constraint. 22nd International Symposium on Mathematical Theory of Networks and Systems (MTNS). University of Minnesota. 2016.
  2. Dower P, McEneaney WM, Cantoni M. A game representation for state constrained linear regulator problems. 2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC). IEEE. 2016.
  3. Farokhi F, Cantoni M, Shames I. A Game-Theoretic Approach to Distributed Scheduling of Rigid Demands on Dynamical Systems. 2016 AUSTRALIAN CONTROL CONFERENCE (AUCC). IEEE. 2016.
  4. Akram MS, Cantoni M. A note on robust stability analysis for feedback interconnections of time-varying linear systems. 22nd International Symposium on Mathematical Theory of Networks and Systems (MTNS). University of Minnesota. 2016.
  5. Cantoni M, Farokhi F, Kerrigan E, Shames I. A scalable QP solver for optimal control of cascades with constraints. 2016 AUSTRALIAN CONTROL CONFERENCE (AUCC). IEEE. 2016.
  6. Dower P, Cantoni M. An approximating game for a continuous-time state-constrained linear regulator problem. 2016 AUSTRALIAN CONTROL CONFERENCE (AUCC). IEEE. 2016.
  7. Vuglar S, Cantoni M. Computing the distance between time-periodic dynamical systems. 22nd International Symposium on Mathematical Theory of Networks and Systems. University of Minnesota. 2016.
  8. Shames I, Farokhi F, Cantoni M. Guaranteed maximum power point tracking by scalar iterations with quadratic convergence rate. 2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC). IEEE. 2016.
  9. Fabbro M, Cantoni M, Kao C. Performance analysis of feedback loops with asynchronous sampling in the forward and return paths. 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NECSYS). Elsevier Science. 2016, Vol. 49, Issue 22.
  10. Soltanian L, Cantoni M. Decentralized string-stability analysis for heterogeneous cascades subject to load-matching requirements. MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING. Springer Verlag. 2015, Vol. 26, Issue 4.
  11. Farokhi F, Cantoni M. Distributed Negotiation for Scheduling Smart Appliances. 2015 5TH AUSTRALIAN CONTROL CONFERENCE (AUCC). IEEE. 2015.
  12. Cantoni M, Kao C. Frequency-domain performance analysis of distributed-parameter systems under periodic sampled-data feedback control. SIAM Conference on Control and Its Applications 2015. 2015.
  13. Farokhi F, Shames I, Cantoni M. Promoting Truthful Behavior in Participatory-Sensing Mechanisms. IEEE SIGNAL PROCESSING LETTERS. IEEE - Institute of Electrical and Electronic Engineers. 2015, Vol. 22, Issue 10.
  14. Farokhi F, Sandberg H, Shames I, Cantoni M. Quadratic Gaussian Privacy Games. 2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC). IEEE. 2015, Vol. 2016-February.
  15. Kao C, Cantoni M. Robust performance analysis of aperiodic sampled-data feedback control systems. 2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC). IEEE. 2015, Vol. 2016-February.

Michael Cantoni

Level: 03 Room: 3.10
Electrical and Electronic Engineering, Parkville
University of Melbourne
3010 Australia

T: +61 3 83446697
E: cantoni@unimelb.edu.au


View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile