Adaptive neural tracking control for nonstrict-feedback nonlinear systems with unknown control gains via dynamic surface control method

HIGHLIGHTS

  • who: Xiongfeng Deng and collaborators from the Anhui Polytechnic University, Wuhu, China have published the article: Adaptive Neural Tracking Control for Nonstrict-Feedback Nonlinear Systems with Unknown Control Gains via Dynamic Surface Control Method, in the Journal: Mathematics 2022, 10, x FOR PEER REVIEW of /2022/
  • what: In this paper, an adaptive neural tracking control law has been proposed for 12 of 13
  • how: This method was proposed by Nussbaum and can effectively solve the control problem of a system with unknown control gain. The consensus control problems of multiagent systems with unknown . . .

     

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