Robust stabilization of uncertain T--S fuzzy time-delay systems with exponential estimates
Fuzzy Sets and Systems
New LMI approach to fuzzy H∞ filter designs
IEEE Transactions on Circuits and Systems II: Express Briefs
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
L2-L∞control of nonlinear fuzzy itô stochastic delay systems via dynamic output feedback
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
Robust H∞ control of uncertain fuzzy systems under time-varying sampling
Fuzzy Sets and Systems
IEEE Transactions on Fuzzy Systems
Reliable guaranteed cost sampling control for nonlinear time-delay systems
Mathematics and Computers in Simulation
IEEE Transactions on Fuzzy Systems
Constrained infinite-horizon model predictive control for fuzzy-discrete-time systems
IEEE Transactions on Fuzzy Systems
Robust guaranteed cost control of uncertain fuzzy systems under time-varying sampling
Applied Soft Computing
Delay dependent stability results for fuzzy BAM neural networks with Markovian jumping parameters
Expert Systems with Applications: An International Journal
Robust H∞ control for a class of discrete time fuzzy systems via delta operator approach
Information Sciences: an International Journal
Guaranteed cost control of uncertain T-S fuzzy systems via output feedback approach
WSEAS TRANSACTIONS on SYSTEMS
Robust sampled-data stabilization of uncertain fuzzy systems via input delay approach
Information Sciences: an International Journal
Computers & Mathematics with Applications
Design of distributed H∞ fuzzy controllers with constraint for nonlinear hyperbolic PDE systems
Automatica (Journal of IFAC)
Robust H∞ filtering for sampled-data fuzzy systems
Fuzzy Sets and Systems
Hi-index | 0.00 |
This paper investigates the problem of stabilization for a Takagi-Sugeno (T-S) fuzzy system with nonuniform uncertain sampling. The sampling is not required to be periodic, and the only assumption is that the distance between any two consecutive sampling instants is less than a given bound. By using the input delay approach, the T-S fuzzy system with variable uncertain sampling is transformed into a continuous-time T-S fuzzy system with a delay in the state. Though the resulting closed-loop state-delayed T-S fuzzy system takes a standard form, the existing results on delay T-S fuzzy systems cannot be used for our purpose due to their restrictive assumptions on the derivative of state delay. A new condition guaranteeing asymptotic stability of the closed-loop sampled-data system is derived by a Lyapunov approach plus the free weighting matrix technique. Based on this stability condition, two procedures for designing state-feedback control laws are given: one casts the controller design into a convex optimization by introducing some over design and the other utilizes the cone complementarity linearization idea to cast the controller design into a sequential minimization problem subject to linear matrix inequality constraints, which can be readily solved using standard numerical software. An illustrative example is provided to show the applicability and effectiveness of the proposed controller design methodology.