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

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

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  • 国家科技期刊平台
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In order to address the output feedback issue for lin-ear discrete-time systems,this work suggests a brand-new adap-tive dynamic programming(ADP)technique based on the inter-nal 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,this technique includes both a policy iteration algorithm and a value iteration algorithm to determine the opti-mal feedback gain without using a dynamic system model.It is important that with this concept one does 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.

AAdaptive dynamic programming(ADP)internal model principle(IMP)output feedback problempolicy iteration(PI)value iteration(VI)

Zhongyang Wang、Youqing Wang、Zdzis?aw Kowalczuk

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College of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China

Department of Robotics and Decision Systems,Faculty of Electronics,Telecommunications and Informatics,Gdansk University of Technology,Gdansk 80-233,Poland

国家杰出青年科学基金中央高校基本科研业务费专项China Scholarship Council,and High Performance Computing Platform,College of Information Science and Technology,Beijing Universi

62225303buctrc202201

2024

10.1109/JAS.2023.123759

自动化学报(英文版)
中国自动化学会,中国科学院自动化研究所,中国科技出版传媒股份有限公司

自动化学报(英文版)

CSTPCDEI
ISSN：2329-9266
年,卷(期)：2024.11(1)
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