Game-based control systems: A semi-tensor product formulation

A class of control systems, which are emerged from dynamic games, are considered. Using semi-tensor product of matrices, the set of strategies can be described as a set of matrices. Then the dynamics of such systems can be converted from logical type dynamics into standard discrete-time dynamic systems. Hence, the classical techniques for control systems are applicable to such systems. Semi-tensor product formulation of such systems is investigated. Some related optimal control problems are also investigated.

[1]  Daizhan Cheng,et al.  Strategy optimization with its application to dynamic games , 2010, 49th IEEE Conference on Decision and Control (CDC).

[2]  Aniruddha Datta,et al.  External control in Markovian genetic regulatory networks: the imperfect information case , 2004, Bioinform..

[3]  Michael Doebeli,et al.  Spatial structure often inhibits the evolution of cooperation in the snowdrift game , 2004, Nature.

[4]  Tal Shima,et al.  Cooperative Differential Games Strategies for Active Aircraft Protection from a Homing Missile , 2010 .

[5]  M. Dufwenberg Game theory. , 2011, Wiley interdisciplinary reviews. Cognitive science.

[6]  M. Mead,et al.  Cybernetics , 1953, The Yale Journal of Biology and Medicine.

[7]  R. Kálmán On the general theory of control systems , 1959 .

[8]  D. Cheng,et al.  An Introduction to Semi-Tensor Product of Matrices and Its Applications , 2012 .

[9]  Dai-zhanCheng On Semi—tensor Product of Matrices and Its Applications , 2003 .

[10]  H.O. Gupta,et al.  Probabilistic Game Approaches for Network Cost Allocation , 2010, IEEE Transactions on Power Systems.

[11]  F. C. Santos,et al.  Social diversity promotes the emergence of cooperation in public goods games , 2008, Nature.

[12]  D. Cheng,et al.  Analysis and control of Boolean networks: A semi-tensor product approach , 2010, 2009 7th Asian Control Conference.

[13]  P.T. Krein,et al.  Game-Theoretic Control of Small-Scale Power Systems , 2009, IEEE Transactions on Power Delivery.

[14]  Aniruddha Datta,et al.  Optimal infinite horizon control for probabilistic Boolean networks , 2006, 2006 American Control Conference.

[15]  Daizhan Cheng,et al.  Optimal Control of Logical Control Networks , 2011, IEEE Transactions on Automatic Control.

[16]  Robert Gibbons,et al.  A primer in game theory , 1992 .

[17]  J. Lygeros,et al.  A game theoretic approach to controller design for hybrid systems , 2000, Proceedings of the IEEE.

[18]  D. Cheng,et al.  Optimal control of finite-valued networks , 2012, Proceedings of the 10th World Congress on Intelligent Control and Automation.

[19]  F. H. Adler Cybernetics, or Control and Communication in the Animal and the Machine. , 1949 .