4.6 Article

A fuzzy adaptive tracking control for a class of uncertain strick-feedback nonlinear systems with dead-zone input

期刊

NEUROCOMPUTING
卷 272, 期 -, 页码 130-135

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2017.06.060

关键词

Generalized fuzzy hyperbolic model (GFHM); Dynamic surface control (DSC); Adaptive tracking control; Dead-zone input; Strick-feedback nonlinear systems

资金

  1. NSF of China [61433004, 61627809]
  2. IAPI [2013ZCX14]
  3. NSF of Liaoning Province [201602593]

向作者/读者索取更多资源

This paper addresses the problem of fuzzy adaptive tracking control for a class of uncertain strick-feedback nonlinear systems with dead-zone input and unknown bounded disturbances. Dead-zone actuators and unknown disturbances are considered at the same time. The generalized fuzzy hyperbolic model (GFHM) is used to approximate the unknown nonlinear functions. Then, the dynamic surface control (DSC) technique is employed to avoid the problem of 'explosion of complexity', and just one adaptive law in the design of controller makes the system more simple and the computational burden lighter. Lyapunov stability analysis shows that all the signals in the closed-loop systems are semi-globally uniformly ultimately bounded (SGUUB). Finally, two simulation examples validate the effectiveness of the proposed scheme. (C) 2017 Elsevier B.V. All rights reserved.

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