Adaptive tracking control for a class of uncertain switched nonlinear systems
Xudong Zhao; Xiaolong Zheng; Ben Niu; Liang Liu
Source PublicationAutomatica
2015
Issue52Pages:185-191
AbstractIn this paper, a tracking control problem is investigated for a class of switched stochastic nonlinear uncertain systems with unknown dead-zone input. By using the common Lyapunov function method and backstepping technique, a common controller and an uniform adaptive mechanism are constructed, and a novel adaptive fuzzy control scheme is developed. It is proved that the proposed control method can guarantee that all the signals in the closed-loop system are bounded in probability and the tracking error is convergent to a neighborhood of the origin under arbitrary switching. Finally, simulation results are provided to show the effectiveness of the proposed control scheme.
KeywordAdaptive Fuzzy Control Backstepping Technique Stochastic Switched Nonlinear Systems Dead-zone Nonlinearities
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20189
Collection复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
Recommended Citation
GB/T 7714
Xudong Zhao,Xiaolong Zheng,Ben Niu,et al. Adaptive tracking control for a class of uncertain switched nonlinear systems[J]. Automatica,2015(52):185-191.
APA Xudong Zhao,Xiaolong Zheng,Ben Niu,&Liang Liu.(2015).Adaptive tracking control for a class of uncertain switched nonlinear systems.Automatica(52),185-191.
MLA Xudong Zhao,et al."Adaptive tracking control for a class of uncertain switched nonlinear systems".Automatica .52(2015):185-191.
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