Fuzzy adaptive control for SISO nonlinear uncertain systems based on backstepping and small-gain approach-Reference-Cited by-同舟云学术

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Fuzzy adaptive control for SISO nonlinear uncertain systems based on backstepping and small-gain approach

Published:2017-05 Issue: Volume:238 Page:212-226
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Su Hang,Zhang Tianliang,Zhang Weihai

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference43 articles.

1. Adaptive neural tracking control for a class of perturbed pure-feedback nonlinear systems;Wang;Nonlinear Dyn.,2013

2. A DSC approach to robust adaptive NN tracking control for strict-feedback nonlinear systems;Li;IEEE Trans. Syst. Man Cybern. Part B,2010

3. Neural-network-based decentralized adaptive output-feedback control for large-scale stochastic nonlinear systems;Zhou;IEEE Trans. Syst. Man, Cybern. Part B,2012

4. Adaptive NN backstepping output-feedback control for stochastic nonlinear strict-feedback systems with time-varying delays;Chen;IEEE Trans. Syst. Man Cybern. Part B,2010

5. Adaptive output feedback control of uncertain nonlinear systems based on dynamic surface control technique;Liu;Int. J. Robust Nonlin.,2012

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1. Adaptive multi-dimensional Taylor network tracking control of time-varying delay nonlinear systems subject to input saturation;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2024-02-28

2. An adaptive hybrid control strategy for a class of nonlinear systems;Journal of Vibration and Control;2022-11-15

3. Small‐gain technique‐based adaptive fuzzy command filtered control for uncertain nonlinear systems with unmodeled dynamics and disturbances;International Journal of Adaptive Control and Signal Processing;2021-06-07

4. Globally Adaptive Neural Network Tracking for Uncertain Output-Feedback Systems;IEEE Transactions on Neural Networks and Learning Systems;2021

5. Design of an Adaptive Fuzzy Backstepping Synergetic Control Scheme for a Class of Strict-Feedback Nonlinear Systems;Lecture Notes in Electrical Engineering;2020-09-30

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