A design method for T–S fuzzy systems with partly immeasurable premise variables subject to actuator saturation-Reference-Cited by-同舟云学术

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A design method for T–S fuzzy systems with partly immeasurable premise variables subject to actuator saturation

Published:2017-02 Issue: Volume:225 Page:164-173
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Dong Jiuxiang,Fu Yu

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Research Fund of State Key Laboratory of Synthetical Automation for Process Industries

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference48 articles.

1. Fuzzy identification of systems and its applications to modeling and control;Takagi;IEEE Trans. Fuzzy Syst.,1985

2. H∞ state-feedback control design for fuzzy systems using Lyapunov function with quadratic dependence on fuzzy weighting function;Kim;IEEE Trans. Fuzzy Syst.,2008

3. Robust stability analysis and fuzzy-scheduling control for nonlinear systems subject to actuator saturation;Cao;IEEE Trans. Fuzzy Syst.,2003

4. Hierarchical fuzzy-neural control of anti-lock braking system and active suspension in a vehicle;Wang;Automatica,2012

5. Adaptive controller design for uncertain fuzzy systems using variable structure control approach;Choi;Automatica,2009

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1. Finite-Time Controller Design for Continuous-Time T–S Fuzzy Systems With Partly Measurable Premise Variables;2024 3rd Conference on Fully Actuated System Theory and Applications (FASTA);2024-05-10

2. Solving variable-order fractional delay differential algebraic equations via fuzzy systems with application in delay optimal control problems;IRAN J FUZZY SYST;2024

3. Fuzzy Adaptive Finite-Time Tracking Control for a Class of Nonlinear Systems: An Event-Triggered Quantized Control Scheme;IEEE Transactions on Fuzzy Systems;2023-11

4. An application of a fuzzy system for solving time delay fractional optimal control problems with Atangana–Baleanu derivative;Optimal Control Applications and Methods;2022-07-18

5. A Decoupling Approach for Observer-Based Controller Design of T–S Fuzzy System With Unknown Premise Variables;IEEE Transactions on Fuzzy Systems;2021-09

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