Controller design for affine fuzzy systems via characterization of dilated linear matrix inequalities-Reference-Cited by-同舟云学术

Controller design for affine fuzzy systems via characterization of dilated linear matrix inequalities

Published:2013-04 Issue: Volume:217 Page:96-109
ISSN:0165-0114
Container-title:Fuzzy Sets and Systems
language:en
Short-container-title:Fuzzy Sets and Systems

Author:

Wang Huimin,Yang Guang-Hong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference26 articles.

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

2. Fuzzy Control Systems Design and Analysis;Tanaka,2001

3. H.O. Wang, K. Tanaka, M. Griffin, Parallel distributed compensation of nonlinear systems by Takagi and Sugeno's fuzzy model, in: Proceedings of FUZZ-IEEE '95, Yokohama, Japan, 1995, pp. 531–538.

4. Asymptotically necessary and sufficient conditions for stability and performance in fuzzy control;Sala;Fuzzy Sets Syst.,2007

5. Nonquadratic stabilization conditions for a class of uncertain nonlinear discrete time TS fuzzy models;Kruszewski;IEEE Trans. Autom. Control,2008

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust State-Coupled Fault Estimation Based on Observer Design for Lipschitz Nonlinear Systems With State Disturbance Using Polytopic Linear Model;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024-07

2. Improved Stability criterion for Delay Neural Networks: High-order Matrix-valued Polynomial Approach;2022 22nd International Conference on Control, Automation and Systems (ICCAS);2022-11-27

3. Bilinear matrix inequality‐based nonquadratic controller design for polytopic‐linear parameter varying systems;International Journal of Robust and Nonlinear Control;2020-09-18

4. Study on Asymptotic Stability of Fractional Singular Systems with Time Delay;International Journal of Control, Automation and Systems;2019-11-28

5. Relaxed Control Design of Discrete-Time Takagi–Sugeno Fuzzy Systems: An Event-Triggered Real-Time Scheduling Approach;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2018-12