<p>This paper presents an adaptive backstepping control method for nonlinear systems with uncertain output faults and asymmetric full-state constraints. The dual-channel event-triggered mechanism for observed output and control input is proposed to address output sensor faults. The observation output triggered mechanism samples the faulty output signal and constructs a state observer to estimate unknown states. Its trigger moments are incorporated into the control input triggered mechanism, forming a dual-dynamic-variables event-triggered mechanism. Additionally, to keep system states within constraint limits, a piecewise barrier Lyapunov function is designed. The feasibility of this control method is verified to guarantee the boundedness of the closed-loop signals and the convergence of the tracking error by using Lyapunov stability theory. Finally, two simulation examples are provided to verify the effectiveness of the proposed scheme.</p>

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Observer Based Dual-Channel Event-Triggered Control for Nonlinear Systems with Indeterminacy Output Faults Under Asymmetric Full-State Constraints

  • Jinhao Li,
  • Liang Zhang,
  • Ning Zhao,
  • Xinjun Wang,
  • Yongchao Liu

摘要

This paper presents an adaptive backstepping control method for nonlinear systems with uncertain output faults and asymmetric full-state constraints. The dual-channel event-triggered mechanism for observed output and control input is proposed to address output sensor faults. The observation output triggered mechanism samples the faulty output signal and constructs a state observer to estimate unknown states. Its trigger moments are incorporated into the control input triggered mechanism, forming a dual-dynamic-variables event-triggered mechanism. Additionally, to keep system states within constraint limits, a piecewise barrier Lyapunov function is designed. The feasibility of this control method is verified to guarantee the boundedness of the closed-loop signals and the convergence of the tracking error by using Lyapunov stability theory. Finally, two simulation examples are provided to verify the effectiveness of the proposed scheme.