research-article

Adaptive Fuzzy Dynamic Surface Control of Nonlinear Constrained Systems With Unknown Virtual Control Coefficients

Authors:

C. L. Philip ChenAuthors Info & Claims

IEEE Transactions on Fuzzy Systems, Volume 28, Issue 8

Pages 1737 - 1747

https://doi.org/10.1109/TFUZZ.2019.2921277

Published: 01 August 2020 Publication History

Abstract

This 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.

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Cited By

Guo XZhang HLiu XYue X(2024)Event-Based Adaptive Fuzzy Constrained Control for Nonlinear Multiagent Systems via State-Error Unified Barrier Function ApproachIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2024.342951332:10(5827-5835)Online publication date: 1-Oct-2024
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cover image IEEE Transactions on Fuzzy Systems

IEEE Transactions on Fuzzy Systems Volume 28, Issue 8

Aug. 2020

377 pages

ISSN:1063-6706

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1063-6706 © 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.

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Published: 01 August 2020

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Cited By

Guo XZhang HLiu XYue X(2024)Event-Based Adaptive Fuzzy Constrained Control for Nonlinear Multiagent Systems via State-Error Unified Barrier Function ApproachIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2024.342951332:10(5827-5835)Online publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1109/TFUZZ.2024.3429513
Wang LWang MMeng W(2023)System Transformation-Based Event-Triggered Fuzzy Control for State Constrained Nonlinear Systems With Unknown Control DirectionsIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2022.322456531:7(2331-2344)Online publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1109/TFUZZ.2022.3224565
Xiao WYin ZZhou TYe ZYang X(2022)A New Adaptive Controller for Nonlinear Systems with Uncertain Virtual Control GainsComplexity10.1155/2022/74080772022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/7408077
Li G(2021)Adaptive Sliding Mode Control for a Class of Manipulator Systems with Output ConstraintComplexity10.1155/2021/66427952021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/6642795
Liu ZLu KLai GChen CZhang Y(2021)Indirect Fuzzy Control of Nonlinear Systems With Unknown Input and State Hysteresis Using an Alternative Adaptive InverseIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2019.295278329:3(500-514)Online publication date: 26-Feb-2021
https://dl.acm.org/doi/10.1109/TFUZZ.2019.2952783
Liu YZhu Q(2021)Event-Triggered Adaptive Fuzzy Tracking Control for Uncertain Nonlinear Systems with Time-Delay and State ConstraintsCircuits, Systems, and Signal Processing10.1007/s00034-021-01802-w41:2(636-660)Online publication date: 4-Aug-2021
https://dl.acm.org/doi/10.1007/s00034-021-01802-w
Liu YZhu Q(2021)Fuzzy approximation‐based adaptive control of nonstrict feedback stochastic nonlinear systems with time‐varying state constraintsInternational Journal of Adaptive Control and Signal Processing10.1002/acs.332535:11(2296-2313)Online publication date: 2-Nov-2021
https://dl.acm.org/doi/10.1002/acs.3325

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