Adaptive Control of Time-Varying and Nonlinear Systems Using a Multi-Model Approach

  • H. Unbehauen
Part of the Progress in Systems and Control Theory book series (PSCT, volume 6)


This paper describes the application of a self-tuning controller to uncertain systems whose parameters are changing very rapidly, for example due to rapid changes of the operating conditions. Classical adaptive controllers are not appropriate for rapid parameter changes of the controlled process. The technique presented in this paper is based on the description of a nonlinear or time-varying system by a multi-model consisting of several linear submodels. Each submodel describes the system at one operating condition. The parameters of the submodels have to be estimated on-line. A statistical test method is applied for the fast detection of parameter changes. For the design of the self-tuning controller an LQG-approach has been applied.


Adaptive Control Parameter Vector Operating Point Equation Error Uncertain System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 1990

Authors and Affiliations

  • H. Unbehauen
    • 1
  1. 1.Dept. of Electrical EngineeringRuhr-University BochumBochum 1Germany

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