Information Sciences: an International Journal
Filtering for uncertain 2-D discrete systems with state delays
Signal Processing
New LMI approach to fuzzy H∞ filter designs
IEEE Transactions on Circuits and Systems II: Express Briefs
Robust H∞ filtering for switched stochastic system with missing measurements
IEEE Transactions on Signal Processing
New results on H∞ filtering for fuzzy time-delay 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
Stability and stabilization of delayed T-S fuzzy systems: a delay partitioning approach
IEEE Transactions on Fuzzy Systems
H∞ control for fuzzy singularly perturbed systems
Fuzzy Sets and Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Journal of Control Science and Engineering - Special issue on Advances in Methods for Control over Networks
Information Sciences: an International Journal
Non-fragile H∞ filter design for discrete-time fuzzy systems with multiplicative gain variations
Information Sciences: an International Journal
Hi-index | 35.69 |
This paper addresses the problem of designing an H∞ filter for a class of nonlinear singularly perturbed systems described by a Takagi-Sugeno (TS) fuzzy model. Based on a linear matrix inequality (LMI) approach, we develop a fuzzy H∞ controller that guarantees that i) the L2-gain from an exogenous input to a filter error is less than or equal to a prescribed value and ii) the poles of each local filter are within a prespecified region. In order to alleviate the ill-conditioning resulting from the interaction of slow and fast dynamic modes, solutions to the problem are given in terms of linear matrix inequalities, which are independent of the singular perturbation ε, when ε is sufficiently small. The proposed approach does not involve the separation of states into slow and fast ones, and it can be applied not only to standard but also to nonstandard singularly perturbed nonlinear systems. A numerical example is provided to illustrate the design developed in this paper.