Information Sciences: an International Journal
Passivity Analysis of Dynamic Neural Networks with Different Time-scales
Neural Processing Letters
Stability analysis and stabilization for discrete-time fuzzy systems with time-varying delay
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Multiobjective control for T-S fuzzy singularly perturbed systems
IEEE Transactions on Fuzzy Systems
H∞ fuzzy control of nonlinear systems under unreliable communication links
IEEE Transactions on Fuzzy Systems
H∞ fuzzy filtering of nonlinear systems with intermittent measurements
IEEE Transactions on Fuzzy Systems
Fuzzy Sets and Systems
H∞ control for fuzzy singularly perturbed systems
Fuzzy Sets and Systems
New results on H∞ filtering for fuzzy systems with interval time-varying delays
Information Sciences: an International Journal
Passivity analysis for neuro identifier with different time-scales
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Fuzzy modeling of a medium-speed pulverizer using improved genetic algorithms
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Information Sciences: an International Journal
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In this paper, we investigate the stability analysis and synthesis problems for both continuous-time and discrete-time fuzzy singularly perturbed systems. For continuous-time case, both the stability analysis and synthesis can be parameterized in terms of a set of linear matrix inequalities (LMIs). For discrete-time case, only the analysis problem can be cast in LMIs, while the derived stability conditions for controller design are nonlinear matrix inequalities (NMIs). Furthermore, a two-stage algorithm based on LMI and iterative LMI (ILMI) techniques is developed to solve the resulting NMIs and the stabilizing feedback controller gains can be obtained. For both continuous-time and discrete-time cases, the reduced-control law, which is only dependent on the slow variables, is also discussed. Finally, an illustrated example based on the flexible joint inverted pendulum model is given to illustrate the design procedures.