Asymptotically necessary and sufficient conditions for stability and performance in fuzzy control: Applications of Polya's theorem
References (25)
- et al.
An effective version of Polya's theorem on positive definite forms
J. Pure Appl. Algebra
(1996) - et al.
Erratum to: an effective version of Polya's theorem on positive definite forms
J. Pure Appl. Algebra
(2001) - et al.
LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the Takagi–Sugeno's form
Automatica
(2004) - et al.
Improvement on observer-based control for T–S fuzzy systems
Automatica
(2005) - et al.
A new bound for Polya's theorem with applications to polynomials positive on polyhedra
J. Pure Appl. Algebra
(2001) - et al.
Perspectives of fuzzy systems and control
Fuzzy Sets and Systems
(2005) - C. Ariño, A. Sala, Relaxed LMI conditions for closed-loop fuzzy systems with tensor product structure, Eng. Appl....
A convex approach to robust stability for linear systems with uncertain scalar parameters
SIAM J. Control Optim.
(2004)- et al.
Linear Matrix Inequalities in System and Control Theory
(1994) - et al.
Robust static output-feedback stabilization for nonlinear discrete-time systems with time delay via fuzzy control approach
IEEE Trans. Fuzzy Syst.
(2005)
Polynomially parameter-dependent Lyapunov functions for robust stability of polytopic systems: an LMI approach
IEEE Trans. Automat. Control
(2005)
A new LMI-based approach to relaxed quadratic stabilization of T–S fuzzy control systems
IEEE Trans. Fuzzy Systems
(2006)
Cited by (562)
Stabilization of time-delay nonlinear systems using Takagi-Sugeno fuzzy models
2024, Fuzzy Sets and SystemsPiecewise reconstruction of membership function approximation errors for Takagi–Sugeno fuzzy control
2024, Engineering Applications of Artificial IntelligenceGeneralized nonlinear sector approaches for Takagi-Sugeno models
2024, Fuzzy Sets and SystemsOutput feedback fuzzy model predictive control with multiple objectives
2024, Journal of the Franklin InstituteOvercoming backstepping limitations via a novel MIMO non-affine-in-control convex optimization technique
2023, Journal of the Franklin Institute
Copyright © 2007 Elsevier B.V. All rights reserved.