Title
Adaptive fuzzy backstepping dynamic surface control for nonlinear Input-delay systems.
Abstract
This paper investigates the problem of fuzzy adaptive backstepping control for a category of nonlinear strict-feedback systems. Input delay is considered in the design process. Fuzzy logic systems are used to identify the unknown nonlinear functions existing in the systems. To handle the input delay, an integral item is introduced. For the general problem of \"explosion of complexity\" in adaptive backstepping control approach, dynamic surface control technique is introduced to avoid it. Based on the adaptive backstepping control approach, a fuzzy adaptive controller with adaptive parameters is constructed to guarantee all signals of the closed-loop system are bounded and system states can be regulated to the origin. Finally, simulation results are provided to illustrate the effectiveness of the proposed methodology.
Year
DOI
Venue
2016
10.1016/j.neucom.2015.12.116
Neurocomputing
Keywords
Field
DocType
Fuzzy adaptive control,Dynamic surface control,Backstepping control,Input delay
Control theory,Backstepping,Nonlinear system,Control theory,Fuzzy logic,Engineering design process,Artificial intelligence,Adaptive neuro fuzzy inference system,Adaptive control,Machine learning,Mathematics,Bounded function
Journal
Volume
Issue
ISSN
199
C
0925-2312
Citations 
PageRank 
References 
9
0.50
31
Authors
4
Name
Order
Citations
PageRank
Qi Zhou1159962.46
Chengwei Wu290.50
X. J. Jing348534.25
lijie wang454517.15