Sliding Mode Fault Tolerant Control with Prescribed Performance

نویسندگان

  • Jicheng Gao
  • Qikun Shen
  • Pengfei Yang
  • Jianye Gong
  • J. GONG
چکیده

This paper considered state tracking problem of a class of nonlinear systems with actuator failures and unmodeled dynamics. Based on neural network and Nussbaum function, an adaptive neural network-based fault tolerant control scheme is proposed to ensure the tracking performance to satisfy a given prescribed performance. The problem of unmodeled dynamics is handled by introducing a dynamic signal. Using the properties of Nussbaum function, the problem of the unknown system direction is solved. Theoretical analysis shows that the closed-loop system is semi-globally uniformly bounded. Simulation results illustrate the effectiveness of the scheme.

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تاریخ انتشار 2017