Robust control of a class of uncertain nonlinear systems
Systems & Control Letters
Brief paper: H∞ filtering for 2D Markovian jump systems
Automatica (Journal of IFAC)
Brief paper: H∞ estimation for discrete-time piecewise homogeneous Markov jump linear systems
Automatica (Journal of IFAC)
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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy filter design for itô stochastic systems with application to sensor fault detection
IEEE Transactions on Fuzzy Systems
Technical communique: Sliding mode control of singular stochastic hybrid systems
Automatica (Journal of IFAC)
Technical communique: Robust sampled-data control for Markovian jump linear systems
Automatica (Journal of IFAC)
A multiple Lyapunov function approach to stabilization of fuzzy control systems
IEEE Transactions on Fuzzy Systems
Model Approximation for Discrete-Time State-Delay Systems in the T–S Fuzzy Framework
IEEE Transactions on Fuzzy Systems
Automatica (Journal of IFAC)
IEEE Transactions on Signal Processing
Generalized H2 fault detection for two-dimensional Markovian jump systems
Automatica (Journal of IFAC)
International Journal of Systems Science - Probability-constrained analysis, filtering and control
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This paper studies the problem of robust fuzzy H"~ filtering for a class of uncertain nonlinear discrete-time Markov jump systems with nonhomogeneous jump transition probabilities. The Takagi and Sugeno fuzzy model is employed to represent such nonlinear nonhomogeneous Markov jump system with norm-bounded parameter uncertainties. By Lyapunov function approach, under the designed mode-dependent and variation-dependent fuzzy filter which includes the membership functions, a sufficient condition is presented to ensure that the filtering error dynamic system is stochastically stable and has a prescribed H"~ performance index. An example is given to demonstrate the effectiveness and advantages of the proposed techniques.