Adaptive Controller Design-Based ABLF for a Class of Nonlinear Time-Varying State Constraint Systems

被引：250

作者：

Liu, Yan-Jun ^{[1
]}

Lu, Shumin ^{[1
]}

Li, Dongjuan ^{[2
]}

Tong, Shaocheng ^{[1
]}

机构：

[1] Liaoning Univ Technol, Coll Sci, Jinzhou 121001, Peoples R China

[2] Liaoning Univ Technol, Sch Chem & Environm Engn, Jinzhou 121001, Peoples R China

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2017年 / 47卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Adaptive control; full state constraints; nonlinear systems; uncertain systems; BARRIER LYAPUNOV FUNCTIONS; OUTPUT-FEEDBACK CONTROL; DYNAMIC SURFACE CONTROL; H-INFINITY CONTROL; TRACKING CONTROL; NEURAL-CONTROL; ITERATION; OBSERVER;

D O I：

10.1109/TSMC.2016.2633007

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we address an adaptive control problem for a class of nonlinear strict-feedback systems with uncertain parameter. The full states of the systems are constrained in the bounded sets and the boundaries of sets are compelled in the asymmetric time-varying regions, i.e., the full state time-varying constraints are considered here. This is for the first time to control such a class of systems. To prevent that the constraints are overstepped, the time-varying asymmetric barrier Lyapunov functions (TABLFs) are employed in each step of the backsstepping design and we also establish a novel control TABLF scheme to ensure the asymptotic output tracking performance. The performances of the adaptive TABLF-based control are verified by a simulation example.

引用

页码：1546 / 1553

页数：8

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