A minimized zero mean entropy approach to networked control systems

Jianhua Zhang, Hong Wang

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    A novel control method is proposed for networked control systems with nonlinear process, probably non-Gaussian process noise and time delays. The performance index of closed loop control system consists of entropy, mean value and control energy constraint. Two stochastic control methods for networked control systems are given under the same general frame. One method utilizes gradient optimal techniques to obtain an optimal control law, and the stability of closed loop systems is analyzed. The other method gives the optimal solution of control law directly. The implementation issues are emphasized. The sliding window techniques and non-parametric probability density function estimation techniques are employed to obtain the entropy of tracking error recursively. As a result, the controller can be on-line tuned. Finally, the methodology is illustrated by simulations. ©2009 IEEE.
    Original languageEnglish
    Title of host publicationProceedings of the IEEE Conference on Decision and Control|Proc IEEE Conf Decis Control
    Pages6876-6881
    Number of pages5
    DOIs
    Publication statusPublished - 2009
    Event48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 - Shanghai
    Duration: 1 Jul 2009 → …

    Conference

    Conference48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
    CityShanghai
    Period1/07/09 → …

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