Paper Info
Title
Adaptive Fuzzy Dynamic Surface Control of Nonlinear Constrained Systems With Unknown Virtual Control Coefficients
Abstract
AbstractThis paper studies the problem of adaptive fuzzy dynamic surface control (DSC) of nonstrict-feedback nonlinear systems subject to unknown virtual control coefficients, dead zone, and full state constraints. The Nussbaum gain technique is used to overcome the difficulty caused by the unknown virtual control coefficients. By utilizing the information of tan-type barrier Lyapunov function, the requirement of full state constraints is successfully achieved. In addition, to handle the problem of “explosion of complexity” resulted from backstepping itself, a DSC approach using the sliding mode differentiator is introduced. Then, based on backstepping control, we develop a new adaptive fuzzy DSC strategy, which ensures that all state constrains are not violated via designing parameters appropriately. Meanwhile, other signals existing in the closed-loop system are bounded. Finally, comparative results are provided to illustrate the effectiveness of the proposed approach.
Year
DOI
Venue
2020
10.1109/TFUZZ.2019.2921277
Periodicals
Keywords
DocType
Volume
Fuzzy logic, Adaptive systems, Lyapunov methods, Backstepping, Explosions, Complexity theory, Adaptive dynamic surface control, dead zone, full state constraints, unknown virtual control coefficients
Journal
28
Issue
ISSN
Citations 
8
1063-6706
8
PageRank 
References 
Authors
0.43
30
2
Name
Order
Citations
PageRank
lijie wang154517.15
C. L. Philip Chen24022244.76