Minimum entropy control of nonlinear ARMA systems over a communication network |
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Authors: | Jianhua Zhang Hong Wang |
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Affiliation: | (1) Department of Automation, North China Electric Power University, Beijing, 102206, China;(2) Control Systems Centre, The University of Manchester, P.O. Box 88, Manchester, UK |
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Abstract: | In this paper, the entropy concept has been utilized to characterize the uncertainty of the tracking error for nonlinear ARMA stochastic systems over a communication network, where time delays in the communication channels are of random nature. A recursive optimization solution has been developed. In addition, an alternative algorithm is also proposed based on the probability density function of the tracking error, which is estimated by a neural network. Finally, a simulation example is given to illustrate the efficiency and feasibility of the proposed approach. |
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Keywords: | Networked control system Entropy Neural networks |
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