NDLI: Observer-based adaptive fuzzy dynamic surface control of non-linear non-strict feedback system

Content Provider	IET Digital Library
Author	Wang, Na Tong, Shaocheng Li, Yongming
Abstract	This study develops a scheme of an adaptive fuzzy dynamic surface control (DSC) for a non-linear non-strict feedback system with immeasurable states. By utilising the universal approximation property of a fuzzy logic system, a state observer is designed to estimate the unmeasured states. Based on the back-stepping DSC design technique, an adaptive fuzzy output feedback control design method is developed. The proposed method can overcome the ‘explosion of complexity’ problem, and also can eliminate the limitation of the measurable states. It is proved that the control method can guarantee that all the signals in the closed-loop system are bounded and the system output can track the given reference signal well. The simulation results are provided to demonstrate the effectiveness of the proposed control method.
Starting Page	3115
Ending Page	3121
Page Count	7
ISSN	17518644
Volume Number	11
e-ISSN	17518652
Issue Number	Issue 17, Nov (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/11/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2017.0517
Journal	IET Control Theory & Applications
Publisher Date	2017-09-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Control Adaptive Fuzzy Dynamic Surface Control Backstepping DSC Design Technique Closed Loop System Closed-loop System Control Nonlinearities Control System Analysis Control System Synthesis DSC Feedback Fuzzy Control Fuzzy Logic System Modelling And Identification Nonlinear Control System Nonlinear Nonstrict Feedback System Observers Output Feedback Control Design Method Reference Signal Self Adjusting Control System Simulation State Observer Synthesis Method Universal Approximation Property Unmeasured State
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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