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Adaptive generalized predictive control of switched systems

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Abstract

The problem of adaptive generalized predictive control which consists of output prediction errors for a class of switched systems is studied. The switching law is determined by the output predictive errors of a finite number of subsystems. For the single subsystem and multiple subsystems cases, it is proved that the given direct algorithm of generalized predictive control guarantees the global convergence of the system. This algorithm overcomes the inherent drawbacks of the slow convergence and large transient errors for the conventional adaptive control.

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Authors and Affiliations

  1. School of Electrical Engineering and Automation, Tianjin University, 300072, Tianjin, P. R. China

    Wang Yi-jing (Lecture, Doctor)

  2. Center for Systems and Control, Department of Mechanics and Engineering Science, Peking University, 100871, Beijing, P. R. China

    Wang Long

Authors
  1. Wang Yi-jing
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  2. Wang Long
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Corresponding author

Correspondence to Wang Yi-jing.

Additional information

Communicated by YE Qing-kai

Project supported by the National Natural Science Foundation of China (No. 13072002) and the National Key Basic Research and Development Program (No. 2002CB312200)

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Yi-jing, W., Long, W. Adaptive generalized predictive control of switched systems. Appl Math Mech 26, 647–653 (2005). https://doi.org/10.1007/BF02466339

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  • DOI: https://doi.org/10.1007/BF02466339

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Chinese Library Classification

Document code

2000 Mathematics Subject Classification

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