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

被引：71

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

页码：590 / 599

页数：10

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