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In this chapter, the tracking control is investigated for a class of interconnected nonlinear systems, which are subject to sector input nonlinearity, unknown input power and actuator fault. In sense of Lyapunov stability theory, a adaptive fuzzy fault-tolerant decentralized control scheme is constructed. It is proven that tracking errors converge to a neighborhood of the origin,which can be adjusted to be enough small by choosing suitable parameters. The scheme removes the traditional assumption that input powers are known in the existing results. Finally, simulation example is used to show the validity of control scheme constructed in this chapter.

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Fuzzy-Logic-Systems-Based Decentralized Fault-Tolerant Adaptive Control Against Sector Input Nonlinearity and Unknown Input Powers

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  • 发表日期：

    2026年

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  • Qikun Shen,
  • Jiyu Zhu,
  • Jianye Gong,
  • Yadong Yang

摘要

In this chapter, the tracking control is investigated for a class of interconnected nonlinear systems, which are subject to sector input nonlinearity, unknown input power and actuator fault. In sense of Lyapunov stability theory, a adaptive fuzzy fault-tolerant decentralized control scheme is constructed. It is proven that tracking errors converge to a neighborhood of the origin,which can be adjusted to be enough small by choosing suitable parameters. The scheme removes the traditional assumption that input powers are known in the existing results. Finally, simulation example is used to show the validity of control scheme constructed in this chapter.