H∞ state-feedback controller design for discrete-time fuzzy systems using fuzzy weighting-dependent Lyapunov functions

Authors:
Doo Jin Choi;PooGyeon Park
Affiliations:
Div. of Electr. & Comput. Eng., Pohang Univ. of Sci. & Technol., South Korea;-
Venue:
IEEE Transactions on Fuzzy Systems
Year:
2003

Citing 0
Cited 26

Robust H∞ control for discrete-time fuzzy systems via basis-dependent Lyapunov functions

Information Sciences: an International Journal
Improved H∞ control of discrete-time fuzzy systems: a cone complementarity linearization approach

Information Sciences: an International Journal
H∞ filtering of discrete-time fuzzy systems via basis-dependent Lyapunov function approach

Fuzzy Sets and Systems
Dynamic output feedback H∞ control of discrete-time fuzzy systems: a fuzzy-basis-dependent Lyapunov function approach

International Journal of Systems Science
Induced ∞-norm FIR filter for recovering MPSK-type modulus signals

Signal Processing
Optimal adaptive fuzzy control for a class of unknown nonlinear systems

WSEAS Transactions on Systems and Control
Dynamic output feedback H∞ control synthesis for discrete-time T--S fuzzy systems via switching fuzzy controllers

Fuzzy Sets and Systems
A systematic approach to improve multiple Lyapunov function stability and stabilization conditions for fuzzy systems

Information Sciences: an International Journal
H∞ state-feedback control for fuzzy systems with input saturation via fuzzy weighting-dependent Lyapunov functions

Computers & Mathematics with Applications
Design and analysis of switching full-order current observer and separation principle for T-S fuzzy system

Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Static output feedback H∞ control of a class of nonlinear discrete-time systems

Fuzzy Sets and Systems
H∞ controller synthesis via switched PDC scheme for discrete-time T-S fuzzy systems

IEEE Transactions on Fuzzy Systems
H∞ fuzzy control of nonlinear systems under unreliable communication links

IEEE Transactions on Fuzzy Systems
Observer-based relaxed H∞ control for fuzzy systems using a multiple Lyapunov function

IEEE Transactions on Fuzzy Systems
Robust H∞ control for discrete-time fuzzy systems via basis-dependent Lyapunov functions

Information Sciences: an International Journal
Relaxed stability conditions for discrete-time fuzzy-model-based control systems

FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Further studies on stabilization conditions for discrete-time Takagi-Sugeno fuzzy systems

FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
A new design of delay-dependent robust H∞filtering for discrete-time T-S fuzzy systems with time-varying delay

IEEE Transactions on Fuzzy Systems
Relaxed H∞ stabilization conditions for discrete-time fuzzy systems with interval time-varying delays

IEEE Transactions on Fuzzy Systems
Generalized H2/H∞ filtering for discrete-time nonlinear system with T-S fuzzy models

FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
Study on separation principles for T-S fuzzy system with switching controller and switching observer

Neurocomputing
H∞ and mixed H2/H∞ control of discrete-time T--S fuzzy systems with local nonlinear models

Fuzzy Sets and Systems
Fuzzy-model-based piecewise H∞ static-output-feedback controller design for networked nonlinear systems

IEEE Transactions on Fuzzy Systems
Fuzzy filter design for nonlinear systems in finite- frequency domain

IEEE Transactions on Fuzzy Systems
H∞ state-feedback-control design for discrete-time fuzzy systems using relaxation technique for parameterized LMI

IEEE Transactions on Fuzzy Systems
Stability analysis and control design for 2-D fuzzy systems via basis-dependent Lyapunov functions

Multidimensional Systems and Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

For discrete-time Takagi-Sugeno (TS) fuzzy systems, we propose an H∞ state-feedback fuzzy controller associated with a fuzzy weighting-dependent Lyapunov function. The controller, which is designed via parameterized linear matrix inequalities (PLMIs), employs not only the current-time but also the one-step-past information on the time-varying fuzzy weighting functions. Appropriately selecting the structures of variables in the PLMIs allows us to find an LMI formulation as a special case.