Adaptive Optimal Discrete-Time Output-Feedback Using an Internal Model Principle and Adaptive Dynamic Programming

Zhongyang Wang; Youqing Wang; Zdzisław Kowalczuk

doi:10.1109/jas.2023.123759

Adaptive Optimal Discrete-Time Output-Feedback Using an Internal Model Principle and Adaptive Dynamic Programming

Abstract

In order to address the output feedback issue for linear discrete-time systems, this work suggests a brand-new adaptive dynamic programming (ADP) technique based on the internal model principle (IMP). The proposed method, termed as IMP-ADP, does not require complete state feedback, merely the measurement of input and output data. More specifically, based on the IMP, the output control problem can first be converted into a stabilization problem. We then design an observer to reproduce the full state of the system by measuring the inputs and outputs. Moreover, includes both a policy iteration algorithm and a value iteration algorithm to determine the optimal feedback gain without using a dynamic system model. It is important that in this concept you do not need to solve the regulator equation. Finally, this control method was tested on an inverter system of grid-connected LCLs to demonstrate that the proposed method provides the desired performance in terms of both tracking and disturbance rejection.

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Articles

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artykuły w czasopismach

Published in:

IEEE-CAA Journal of Automatica Sinica no. 11, pages 131 - 140,
ISSN: 2329-9266

Language:

English

Publication year:

2024

Bibliographic description:

Wang Z., Wang Y., Kowalczuk Z.: Adaptive Optimal Discrete-Time Output-Feedback Using an Internal Model Principle and Adaptive Dynamic Programming// IEEE-CAA Journal of Automatica Sinica -Vol. 11,iss. 1 (2024), s.131-140

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