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An indirect adaptive predictive controller for linear and nonlinear plants

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2 Author(s)
Pickhardt, R. ; Autom. Control Lab., Ruhr-Univ., Bochum, Germany ; Unbehauen, H.

In this paper an indirect adaptive controller for single-input single-output (SISO-) systems is presented. The design procedure uses the mathematical input-output model of the plant to find a controller output which minimizes a cost function for a given prediction horizon. Therefore this predictive controller is able to work both with linear and nonlinear plants (i.e., using linear and nonlinear models of the plant); it only needs the input-output description of the plant to be controlled. In this paper, for example, results with linear ARMAX-models, as well as with a neural network description of a nonlinear plant are presented. The controller output is found using an evident search strategy which avoids computation of partial derivatives.

Published in:

American Control Conference, 1994  (Volume:3 )

Date of Conference:

29 June-1 July 1994