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Adaptive Optimal Control for a Class of Nonlinear Systems With Dead Zone Input and Prescribed PerformanceChinese Full Text

GUO Zi-Jie;BAI Wei-Wei;ZHOU Qi;LU Ren-Quan;School of Automation, Guangdong University of Technology;Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control;

Abstract: This paper develops an adaptive fuzzy optimal control method for a class of strict-feedback nonlinear systems with dead zone input and prescribed performance. Fuzzy logic systems are used to approximate unknown nonlinear functions and cost functions. Under the command filtered technique and the backstepping method, the feedforward controller is designed. And an optimal feedback controller is derived to stabilize the tracking error dynamics in the affine form via an adaptive dynamic programming technology. Based on the prescribed performance control method, the tracking error can be limited in a prescribed area. Moreover, the control problem of nonlinear systems with dead zone input can be addressed by utilizing the information of dead zone slopes. All signals in the closed-loop system can be proved to be uniformly ultimately bounded by using the of Lyapunov stability theorem.Finally, the simulation results verify the feasibility and effectiveness of the proposed method.
  • DOI:

    10.16383/j.aas.c190414

  • Series:

    (I) Electronic Technology & Information Science; (A) Mathematics/ Physics/ Mechanics/ Astronomy

  • Subject:

    Mathematics

  • Classification Code:

    O232

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