‘Medium’ Cluster Proposal: “Towards Multi-agent based Learning Modelling & Estimation in Complex Systems”

 

References used in Case for Support:

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[3]   Bemporad A.; W. Heemels and B. De schutter, “ On Hybrid Systems and Closed-loop MPC Systems”, Proceedings IEEE Conference on Decision and Control,  pp. 1645 – 1650, 2001

[4]   Boel, R., M. James and I. Petersen. “Robustness and risk sensitivite filtering”, In Proc. of IEEE Conf. on Decision and Control, 1997.

[5]   Chen, G. and J. McAvoy, “Predictive on-line monitoring of continuous processes”, J. of Process Control, Vol. 8, pp. 409-420, 1997.

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[7]   Chiang L., Russel, E. and Braatz R. Fault Detection and Diagnosis in Industrial Systems, Springer-Verlag London Limited, 2001.

[8]   Chiu, M and S Cui, “Internal model control design for transition control”. AIChe Journal, Vol. 46(2), pp. 309–320, 2000.

[9]   Close C. and D. Frederick, Modelling and analysis of dynamic systems, John Wiley & Sons. Inc. 1995.

[10]  Das, S, Fox, J, Elsdon, D and P Hammond. “A flexible architecture for autonomous agents”, Journal of Experimental and Theoretical Artificial Intelligence, Vol. 9, pp. 407-440, 1997.

[11]  Elsaesser, C and M Slack. “Integrating deliberative planning in a robot architecture”, in Proceedings of AIAA/NASA Conference on Intelligent Robots in Field, Factory, Service and Space, Houston, pp.782-787, 1994

[12]  Ferrari-Trecate G., Cuzzola F., Mignone D. and M. Morari. “Analysis of discrete-time piecewise affine and hybrid systems”.,Automatica, Vol. 38, pp. 2139-2146, 2002

[13]  Ferrari-Trecate G., Cuzzola F. and M. Morari. “Lagrange stability and performance analysis of discrete-time piecewise affine systems with logic states”. International Journal of Control, 2003

[14]  Gat, E. “On three layer architectures”, in D Kortenkamp, R Bonasso & R Murphey (Eds.) Artificial Intelligence &Mobile Robots,AAAI Press

[15]  Gertler, J. Fault Detection and Diagnosis in Engineering Systems, Marcel Dekker Inc., New York, 1998.

[16]  Gomez-Ramirez, P. Lofti Najim and E. Ikonen, Stochastic learning control for non-linear systems, Intern. Joint Conf. on Neural Networks, Honolulu, Hawaii, U.S.A, 12-17, May 2002.

[17]  Huang, Y. and L. Fan, “HIDEN: A Hybrid Intelligent System for Synthesizing Highly Controllable Exchanger Networks: Implementation of Distributed Strategy for Integration of Process Design & Control”, Industrial & Engineering Chemistry Research, Vol. 33, 1171-1185, 1994.

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[25]  Najim, K and A. Poznyak, Learning Automata Theory and Applications, Pergamon Press, London 1994.

[26]  Najim, K; E. Ikonen and Aït-Kadi Daoud. Stochastic Processes: Estimation, Optimisation and analysis, Hermes Sc. Pub.Ltd., London, 2004.

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[28]  Papoulis, A. Probability, random variables and stochastic processes, Third Edition, McGraw-Hill International Editors, Chapter 15, 1991.

[29]  Patton R. “Robust model-based fault diagnosis: the state of art”. IFAC Fault Detection, Supervision and Safety for Technical Processes, pp. 11-24, Finland, 1994.

[30]  Peters, A. and P. Iglesias. “Minimum entropy control for discrete-time time-varying systems”, Automatica, Vol. 33, pp. 591-605, 1997.

[31]  Petersen, I. and A. Savkin. Robust Kalman Filtering for Signals and Systems with Large Uncertainties. Birkhäuser Boston, 1999.

[32]  Petersen, I., M. James and P. Dupuis. “Minimax optimal control of stochastic uncertain systems with relative entropy constraint”, IEEE Trans. Automatic. Control, Vol.45, pp.398 – 412, 2000.

[33]  Petersen, I.; V. Ugrinovski and A. Savkin. Robust Control Design using H^¥ Methods.  Springer-London, 2000.

[34]  Ugrinovski, V. and I. Petersen.  “Robust filtering for continuous time stochastic uncertain systems with relative entropy constraints”, In Proc. of 1999 European Control Conference, 1999.

[35]  Ugrinovski, V. and I. Petersen.  “Guaranteed cost LQG filtering for stochastic discrete time uncertain systems via risk-sensitive control” , In Proc. of IEEE Conf. on Decision and Control, 1999.

[36] Van Overschee, P. and B. De Moor. Closed-loop subspace system identification, Internal report. Katholieke Universitiet Leuven. Deparment Elektrotechniek. ESAT-SISTA/TR 1996-521.

[37]  Van Overschee, P. and B. De Moor. “Closed-loop subspace system identification”, Proceedings 36th IEEE Control and Decisin Conference, California, pp. 6 – 14, 1997.

[38]  Wang, H. Bounded Dynamic Stochastic Distributions: Modelling and Control, Springer-Verlag (London) , 2000.

[39]  Wang, H. and W. Lin. “Applying observer based FDI techniques to detect faults in dynamic and bounded stochastic distributions”, International Journal of Control, Vol. 73, pp. 1424 - 1436, 2000.

[40]  Wang H, J. H., Zhang. “Bounded stochastic distribution control for pseudo ARMAX systems”, IEEE   Transactions on Automatic Control, Vol. 46, pp. 486 - 490, 2001.

[41]  Wang, H. “Minimum entropy control for non-Gaussian dynamic stochastic systems”, IEEE Transactions on Automatic Control, Vol. 47, pp.398 – 403, 2002.

[42]  Wenxin, et al, Fault diagnosis and tolerant control of control systems, Mechanical Press, China, 1999.

[43]  Wolkenhauer, O. Possibility Theory with Applications to Data Analysis, John Wiley & Sons London, 1998.

[44] M. Ge, R.Du, and Y. S Xu, Condition Monitoring Using Marginal Energy and hidden Markov Model, Control and intelligent systems,

       Vol. 32,No(1), pp 1-9, 2004

[45]  Zayed, A; Hussain A., Grimble M., “Novel non-linear Multiple-Controller framework for Complex Systems incorporating a Learning sub-

         model”, invited paper, to appear, International Journal of Control & Intelligent Systems, Special Issue, Vol.33, 2004.