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Applied Mathematics and Computation, ISSN 0096-3003, 01/2017, Volume 293, pp. 586 - 599
This paper deals with stability analysis and control design problems for continuous-time Takagi–Sugeno (T–S) fuzzy systems... 
Discretized Lyapunov function technique | Stability analysis | Switched non-parallel distributed compensation scheme | Continuous-time Takagi–Sugeno fuzzy systems | Fuzzy logic | Information science | Fuzzy algorithms | Algorithms | Analysis | Fuzzy systems
Journal Article
IEEE transactions on fuzzy systems, ISSN 1941-0034, 2017, Volume 25, Issue 6, pp. 1795 - 1807
Journal Article
IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, 04/2009, Volume 17, Issue 2, pp. 291 - 300
Journal Article
Fuzzy Sets and Systems, ISSN 0165-0114, 2009, Volume 160, Issue 12, pp. 1738 - 1748
...–Sugeno fuzzy systems with immeasurable premise variables. When we consider the filter design of Takagi... 
[formula omitted] filtering | Uncertain systems | Robust filtering | Premise variables | Takagi–Sugeno fuzzy systems | Takagi-Sugeno fuzzy systems | filtering | Fuzzy logic | Fuzzy algorithms | Fuzzy systems
Journal Article
Fuzzy Sets and Systems, ISSN 0165-0114, 2009, Volume 160, Issue 19, pp. 2796 - 2811
... for T–S uncertain closed-loop systems non-quadratic stability conditions. Based on a fuzzy Lyapunov candidate function and the descriptor redundancy property, these stability conditions are written in terms of linear matrix inequalities (LMI... 
Dynamic output feedback | Descriptor redundancy | Fuzzy control | Non-quadratic stabilization | Takagi–Sugeno systems | Fuzzy Lyapunov function | Takagi-Sugeno systems | MATHEMATICS, APPLIED | ILMI APPROACH | FORM | CONTROL DESIGN | STATISTICS & PROBABILITY | TIME-DELAY | H-INFINITY CONTROL | LMI APPROACH | QUADRATIC STABILITY | STABILITY ANALYSIS | NONLINEAR-SYSTEMS | COMPUTER SCIENCE, THEORY & METHODS | LINEAR MATRIX INEQUALITIES | Computer Science | Automatic Control Engineering
Journal Article
Fuzzy Sets and Systems, ISSN 0165-0114, 05/2017, Volume 314, pp. 99 - 115
This paper addresses a finite-time H∞ fuzzy control problem for a class of nonlinear Markovian jump delayed systems with partly uncertain transition descriptions, which is represented as a Takagi–Sugeno (T–S) fuzzy model... 
Fuzzy control | Nonlinear Markovian jump delayed system | Takagi–Sugeno fuzzy model | Lyapunov–Krasovskii functional | Finite-time boundedness | Electrical engineering | Analysis
Journal Article
International Journal of Control, Automation and Systems, ISSN 1598-6446, 6/2018, Volume 16, Issue 3, pp. 961 - 971
Journal Article
Fuzzy Sets and Systems, ISSN 0165-0114, 12/2017, Volume 329, pp. 61 - 76
... T–S fuzzy systems, where the next communication instant is determined by an event-triggered communication scheme with a constant threshold and the premises... 
Networked control systems | Takagi–Sugeno fuzzy systems | Adaptive event-triggered communication | Asynchronous premises
Journal Article
IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, 02/2010, Volume 18, Issue 1, pp. 194 - 201
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 2015, Volume 157, pp. 306 - 314
... (T–S) fuzzy Markov jump systems. The systems involve stochastic disturbances and nonlinearities that can be described by T–S fuzzy models... 
Takagi–Sugeno (T–S) fuzzy systems | Markov jump systems | [formula omitted] performance | Model order approximation | Projection approach | Disturbances | performance | Takagi-Sugeno (T-S) fuzzy systems | Analysis | Aquatic resources | Models
Journal Article