Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
Asymptotic stability of neutral systems with multiple delays
Journal of Optimization Theory and Applications
A new delay-dependent criterion for neural systems with multiple delays
Journal of Computational and Applied Mathematics
Technical communique: Sliding mode control of singular stochastic hybrid systems
Automatica (Journal of IFAC)
Improved robust energy-to-peak filtering for uncertain linear systems
Signal Processing
IEEE Transactions on Neural Networks
Filtering-based robust fault detection of fuzzy jump systems
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
Robust Fuzzy Control Approach for a Class of Markovian Jump Nonlinear Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Neural Networks
IEEE Transactions on Signal Processing
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The L"2-L"~ fuzzy control problem is considered for nonlinear stochastic Markov jump systems with neutral time-delays. By means of Takagi-Sugeno fuzzy models, the fuzzy controller systems and the overall closed-loop fuzzy dynamics are constructed. A sufficient condition is firstly established on the stochastic stability using stochastic Lyapunov-Krasovskii functional. Then in terms of linear matrix inequalities techniques, the sufficient conditions on the existence of mode-dependent state feedback L"2-L"~ fuzzy controller are presented and proved respectively for constant and time varying case. Finally, the design problems are formulated as optimization algorithms. Simulation results are exploited to illustrate the effectiveness of the developed techniques.