Robust adaptive fuzzy stabilization for uncertain nonlinear systems with UVCGF

被引：0
|
作者：
Li Tie-shan [1 ]
Yang Yan-sheng [1 ]
Hong Bi-guang [1 ]
Yang Lin-jia [1 ]
机构：
[1] Dalian Maritime Univ, Navigat Coll, Dalian 116026, Peoples R China
来源：
Proceedings of 2005 Chinese Control and Decision Conference, Vols 1 and 2 | 2005年
关键词：
uncertain nonlinear systems; fuzzy systems; backstepping; robust adaptive fuzzy control; virtual control gain;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A robust adaptive fuzzy controll algorithm is presented for a class of perturbed uncertain nonlinear system with unknown virtual control gain functions (UVCGF), the fuzzy system is used to approximate unstructured uncertain functions. The proposed algorithm based on Lyapunov function, by combining Nussbaum gain with the decoupled backstepping techniques, solves unknown problems of controller gain and direction, overcomes the controller-singularity problem, and proves the semi-globally uniformly ultimately bounded (SGUUB) of closed-loop system. Numerical simulation results on a ship linear-path tracking stabilization are presented to validate the effectiveness of the proposed controller.
引用
收藏
页码：72 / 76
页数：5
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