Generalization of stability criterion for Takagi--Sugeno continuous fuzzy model
Fuzzy Sets and Systems - Control and applications
Observer-based robust fuzzy control of nonlinear systems with parametric uncertainties
Fuzzy Sets and Systems - Modeling and control
Robust H∞ fuzzy control of nonlinear systems with multiple time delays
International Journal of Systems Science
PCA based pressure control of a gas mixing chamber
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Robust fuzzy controller design for nonlinear multiple time-delay systems by dithers
Fuzzy Sets and Systems
Robust H∞ control for Van de Vusse reactor via T-S fuzzy bilinear scheme
Expert Systems with Applications: An International Journal
Automatica (Journal of IFAC)
Robust H∞ fuzzy control of dithered chaotic systems
Neurocomputing
Guaranteed cost control of affine nonlinear systems via partition of unity method
Automatica (Journal of IFAC)
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In the field of fuzzy modeling, the Takagi-Sugeno fuzzy model has been used to approximate accurately the dynamics of complex plants. The paper addresses two control design problems associated with state-space realizations of such fuzzy models. First, we treat the stability robustness of fuzzy model-based controllers against modeling uncertainty. Second, we develop observer-based control schemes and further investigate the behavior of estimated-state feedback. In both cases, we provide sufficient conditions that guarantee stability of the closed loop. The results are demonstrated on the fuzzy model of a gas furnace process