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This paper solves the adaptive output feedback control problem for a class of nonlinear time-delay system with neural network and static gains. First, a reduced-order state observer is designed through the variable substitution. Then, the unknown continuous functions and system states are suppressed by the neural networks and static gains. To stabilize the system, an output feedback controller is designed by Lyapunov-Krasovskii functional. Finally, the effectiveness of this control scheme is verified by a simulation example.

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Adaptive Output Feedback Control for Nonlinear Time-Delay Systems with Neural Network and Static Gains

  • 会议论文

  • 发表日期：

    2025年

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  • Wenjie Li,
  • Zhengqiang Zhang

摘要

This paper solves the adaptive output feedback control problem for a class of nonlinear time-delay system with neural network and static gains. First, a reduced-order state observer is designed through the variable substitution. Then, the unknown continuous functions and system states are suppressed by the neural networks and static gains. To stabilize the system, an output feedback controller is designed by Lyapunov-Krasovskii functional. Finally, the effectiveness of this control scheme is verified by a simulation example.