Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/61981
Title: Adaptive fuzzy backstepping dynamic surface control for nonlinear Input-delay systems
Authors: Zhou, Q
Wu, C
Jing, X 
Wang, L
Keywords: Backstepping control
Dynamic surface control
Fuzzy adaptive control
Input delay
Issue Date: 2016
Publisher: Elsevier
Source: Neurocomputing, 2016, v. 199, p. 58-65 How to cite?
Journal: Neurocomputing 
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.
URI: http://hdl.handle.net/10397/61981
ISSN: 0925-2312
EISSN: 1872-8286
DOI: 10.1016/j.neucom.2015.12.116
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