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Modeling and design of networked control systems using a stochastic switching systems approach
Author(s) -
Kobayashi Koichi,
Hiraishi Kunihiko
Publication year - 2014
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.21936
Subject(s) - representation (politics) , networked control system , computer science , control (management) , state (computer science) , actuator , control theory (sociology) , optimal control , control system , stochastic control , control engineering , mathematical optimization , dynamic programming , mathematics , engineering , algorithm , artificial intelligence , electrical engineering , politics , political science , law
A networked control system (NCS) is a control system in which plants, sensors, controllers, and actuators are connected through communication networks. In this paper, we consider NCSs modeled by stochastic switching systems, and propose a new method for modeling and optimal control. First, a recursive representation of the expected value of the state is proposed. Next, after an over‐approximation of this recursive representation is derived, the optimal control problem is reduced to a linear programming problem. Finally, the effectiveness of the proposed method is shown by a numerical example. The proposed method provides us an easy‐to‐use control method for NCSs. © 2013 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.