Adaptive Fuzzy Tracking Control of Nonlinear Switched Stochastic Systems With Prescribed Performance and Unknown Control Directions

被引：63
作者：
Liu, Yanli [1 ]
Ma, Hongjun [1 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2020年 / 50卷 / 02期
关键词：
Switches; Nonlinear systems; Adaptive systems; Stochastic systems; Lyapunov methods; Stochastic processes; Adaptive control; fuzzy control; Nussbaum-type function; prescribed performance; switched stochastic systems; DYNAMIC SURFACE CONTROL; OUTPUT-FEEDBACK CONTROL; TIME-VARYING DELAYS; LARGE-SCALE SYSTEMS; STABILITY ANALYSIS; FAULT-DETECTION; LINEAR-SYSTEMS; NEURAL-CONTROL; STABILIZATION; DESIGN;
D O I：
10.1109/TSMC.2017.2764685
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The adaptive fuzzy prescribed performance tracking control design problem is investigator switched stochastic nonlinear systems with unknown control directions in this paper. The Nussbaum-type functions are introduced to handle the issue of unknown control directions. The constructed controller guarantees that all the signals in the closed-loop are bounded in probability, whereas the convergence of the tracking error and the prescribed performance bound are also ensured. Finally, simulations on a mass-spring-damper system with controller switching are performed to illustrate the developed control scheme.
引用
收藏
页码：590 / 599
页数：10
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