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<p>This paper investigates the decentralized adaptive output feedback control problem for interconnected plants with multiple unknown control directions. First, a decentralized fuzzy state observer is designed to estimate the unknown state of the system through a linear state transformation. Then, a logic-based switching mechanism is proposed for online updating design parameters and identifying the unknown control directions. Meanwhile, to address the challenge of continuous switching, a minimum switching interval is embedded within the switching mechanism. Finally, the dynamic boundary function and Lyapunov-like function designed in the switching mechanism are applied to guarantee the semi-globally uniformly ultimate boundedness of the closed-loop system, while all subsystem outputs converge to a neighborhood of the origin. The simulation results confirm the efficacy of the developed control strategy.</p>

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Logic-based adaptive fuzzy output feedback control for nonlinear interconnected systems with unknown control directions

  • 期刊论文

  • 发表日期：

    2025年9月13日

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  • Zhipeng Chang,
  • Lili Zhang,
  • Liwei An

摘要

This paper investigates the decentralized adaptive output feedback control problem for interconnected plants with multiple unknown control directions. First, a decentralized fuzzy state observer is designed to estimate the unknown state of the system through a linear state transformation. Then, a logic-based switching mechanism is proposed for online updating design parameters and identifying the unknown control directions. Meanwhile, to address the challenge of continuous switching, a minimum switching interval is embedded within the switching mechanism. Finally, the dynamic boundary function and Lyapunov-like function designed in the switching mechanism are applied to guarantee the semi-globally uniformly ultimate boundedness of the closed-loop system, while all subsystem outputs converge to a neighborhood of the origin. The simulation results confirm the efficacy of the developed control strategy.