NDLI: Adaptive fuzzy dynamic surface control for a class of perturbed nonlinear time-varying delay systems with unknown dead-zone

Content Provider	Springer Nature Link
Author	Yue, Hong Yun Li, Jun Min
Copyright Year	2012
Abstract	In this paper, adaptive dynamic surface control (DSC) is developed for a class of nonlinear systems with unknown discrete and distributed time-varying delays and unknown dead-zone. Fuzzy logic systems are used to approximate the unknown nonlinear functions. Then, by combining the backstepping technique and the appropriate Lyapunov-Krasovskii functionals with the dynamic surface control approach, the adaptive fuzzy tracking controller is designed. Our development is able to eliminate the problem of “explosion of complexity” inherent in the existing backstepping-based methods. The main advantages of our approach include: 1) for the n-th-order nonlinear systems, only one parameter needs to be adjusted online in the controller design procedure, which reduces the computation burden greatly. Moreover, the input of the dead-zone with only one adjusted parameter is much simpler than the ones in the existing results; 2) the proposed control scheme does not need to know the time delays and their upper bounds. It is proven that the proposed design method is able to guarantee that all the signals in the closed-loop system are bounded and the tracking error is smaller than a prescribed error bound, Finally, simulation results demonstrate the effectiveness of the proposed approach.
Starting Page	545
Ending Page	554
Page Count	10
File Format	PDF
ISSN	14768186
Journal	International Journal of Automation and Computing
Volume Number	9
Issue Number	5
e-ISSN	17518520
Language	English
Publisher	Institute of Automation, Chinese Academy of Sciences
Publisher Date	2012-10-11
Publisher Place	Heidelberg
Access Restriction	Subscribed
Subject Keyword	Adaptive fuzzy control dynamic surface control (DSC) discrete and distributed time-varying delays Lyapunov-Krasovskii functionals dead-zone Computer Applications Computer-Aided Engineering (CAD, CAE) and Design Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Control and Systems Engineering Modeling and Simulation Computer Science Applications

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