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Minimum entropy control of nonlinear ARMA systems over a communication network

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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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Acknowledgements

This work is supported by National Natural Science Foundation of China under grants (No. 60674051, 60472065), Beijing Natural Science Foundation under grant (No. 4072022) and the support from Chinese Academy of Sciences under grant CAS 2004-4-1. These are gratefully acknowledged.

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Authors and Affiliations

  1. Department of Automation, North China Electric Power University, Beijing, 102206, China

    Jianhua Zhang

  2. Control Systems Centre, The University of Manchester, P.O. Box 88, Manchester, UK

    Hong Wang

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  1. Jianhua Zhang
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  2. Hong Wang
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Correspondence to Jianhua Zhang.

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Zhang, J., Wang, H. Minimum entropy control of nonlinear ARMA systems over a communication network. Neural Comput & Applic 17, 385–390 (2008). https://doi.org/10.1007/s00521-007-0140-8

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  • DOI: https://doi.org/10.1007/s00521-007-0140-8

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