Scholarlink

<p>This paper designs an optimal dynamic output-feedback controller (ODOFC) for linear output regulation problems based on adaptive dynamic programming (ADP). First, the overall model of the controller and compensator is established using the internal model principle and the minimal polynomial of the exosystem. Second, a state reconstruction technique is employed to reconstruct all system states using measurable input and output information. Subsequently, the delayed form of the minimal polynomial of the exosystem is introduced, eliminating the need to collect the exosystem states. Without relying on system dynamics, a value iteration based off-policy ADP algorithm is proposed to learn ODOFC using online input and output information. Finally, the effectiveness of this method is verified through simulations of a DC motor speed control system and a double integral system, thereby demonstrating its practicality and robustness.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Optimal dynamic output-feedback controller design for linear output regulation problems with its applications

  • 期刊论文

  • 发表日期：

    2025年3月26日

查看全文
  • Zhongyang Wang,
  • Youqing Wang,
  • Li Liang

摘要

This paper designs an optimal dynamic output-feedback controller (ODOFC) for linear output regulation problems based on adaptive dynamic programming (ADP). First, the overall model of the controller and compensator is established using the internal model principle and the minimal polynomial of the exosystem. Second, a state reconstruction technique is employed to reconstruct all system states using measurable input and output information. Subsequently, the delayed form of the minimal polynomial of the exosystem is introduced, eliminating the need to collect the exosystem states. Without relying on system dynamics, a value iteration based off-policy ADP algorithm is proposed to learn ODOFC using online input and output information. Finally, the effectiveness of this method is verified through simulations of a DC motor speed control system and a double integral system, thereby demonstrating its practicality and robustness.