Output regulation for discrete-time   nonlinear stochastic optimal control problems with model-reality differences

Sie Long Kek; Mohd Ismail Abd Aziz

doi:10.3934/naco.2015.5.275

Article Contents

2015, Volume 5, Issue 3: 275-288. Doi: 10.3934/naco.2015.5.275

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Output regulation for discrete-time nonlinear stochastic optimal control problems with model-reality differences

Sie Long Kek^1, and
Mohd Ismail Abd Aziz^2,

1.
Department of Mathematics, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja
2.
Department of Mathematics, Universiti Teknologi Malaysia, 81310 UTM, Skudai

Received: May 2014

Revised: March 2015

Published: August 2015

Abstract / Introduction Related Papers Cited by

Abstract

In this paper, we propose an output regulation approach, which is based on principle of model-reality differences, to obtain the optimal output measurement of a discrete-time nonlinear stochastic optimal control problem. In our approach, a model-based optimal control problem with adding the adjustable parameters is considered. We aim to regulate the optimal output trajectory of the model used as closely as possible to the output measurement of the original optimal control problem. In doing so, an expanded optimal control problem is introduced, where system optimization and parameter estimation are integrated. During the computation procedure, the differences between the real plant and the model used are measured repeatedly. In such a way, the optimal solution of the model is updated. At the end of iteration, the converged solution approaches closely to the true optimal solution of the original optimal control problem in spite of model-reality differences. It is important to notice that the resulting algorithm could give the output residual that is superior to those obtained from Kalman filtering theory. The accuracy of the output regulation is therefore highly recommended. For illustration, a continuous stirred-tank reactor problem is studied. The results obtained show the efficiency of the approach proposed.

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Mathematics Subject Classification: Primary: 93E20, 93E10; Secondary: 93C10.

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