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An Approach to Adaptive Control Using Real Time Identification

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Author

Summary, in English

An adaptive controller consisting of a real time identifier and a minimum variance regulator is discussed. The identification is done by augmenting the state with the unknown parameters of the process. This usually leads to a non-linear filtering problem. By choosing a model of special structure the problem can, however, be reduced to a linear problem. The control law is derived using stochastic optimal control theory. By choosing a special criterion, the stochastic control problem can be solved analytically. The behaviour of the adaptive controller is illustrated in two examples.

Publishing year

1971

Language

English

Pages

211-217

Publication/Series

Automatica

Volume

7

Document type

Journal article

Publisher

Pergamon Press Ltd.

Topic

  • Control Engineering

Status

Published

ISBN/ISSN/Other

  • ISSN: 0005-1098