Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint
RIS ID
116068
Abstract
This paper presents an adaptive fuzzy control approach for a category of uncertain nonstrict-feedback systems with input saturation and output constraint. A variable separation approach is introduced to overcome the difficulty arising from the nonstrict-feedback structure. The problem of input saturation is solved by introducing an auxiliary design system, and output constraint is handled by utilizing a barrier Lyapunov function. Combing fuzzy logic system with the adaptive backstepping technique, the semi-global boundedness of all variables in the closed-loop systems is guaranteed, and the tracking error is driven to the origin with a small neighborhood. The stability of the closed-loop systems is proved, and the simulation results reveal the effectiveness of the proposed approach.
Publication Details
Q. Zhou, L. Wang, C. Wu, H. Li & H. Du, "Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint," IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, vol. 47, (1) pp. 1-12, 2017.