Paper Info
Title
Adaptive Fuzzy Control With High-Order Barrier Lyapunov Functions for High-Order Uncertain Nonlinear Systems With Full-State Constraints.
Abstract
This paper focuses on the practical output tracking control for a category of high-order uncertain nonlinear systems with full-state constraints. A high-order tan-type barrier Lyapunov function (BLF) is constructed to handle the full-state constraints of the control systems. By the BLF and combining a backstepping design technique, an adding a power integrator, and a fuzzy control, the proposed approach can control high-order uncertain nonlinear system with full-state constraints. A novel controller is designed to ensure that the tracking errors approach to an arbitrarily small neighborhood of zero, and the constraints on system states are not violated. The numerical example demonstrates effectiveness of the proposed control method.
Year
DOI
Venue
2020
10.1109/TCYB.2018.2890256
IEEE Transactions on Cybernetics
Keywords
DocType
Volume
Nonlinear systems,Adaptive systems,Lyapunov methods,Fuzzy control,Sun,Backstepping
Journal
50
Issue
ISSN
Citations 
8
2168-2267
34
PageRank 
References 
Authors
0.68
0
5
Name
Order
Citations
PageRank
Wei Sun11298.62
Shun-Feng Su2119497.62
Yuqiang Wu324928.64
Jian-Wei Xia439838.02
Van-Truong Nguyen5462.20