Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Control law proposition for the stabilization of discrete Takagi-Sugeno models
IEEE Transactions on Fuzzy Systems
A new fuzzy Lyapunov function approach for a Takagi--Sugeno fuzzy control system design
Fuzzy Sets and Systems
Perspectives of fuzzy systems and control
Fuzzy Sets and Systems
A way to escape from the quadratic framework
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An approach to fuzzy control of nonlinear systems: stability and design issues
IEEE Transactions on Fuzzy Systems
Piecewise quadratic stability of fuzzy systems
IEEE Transactions on Fuzzy Systems
Parameterized linear matrix inequality techniques in fuzzy control system design
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
A multiple Lyapunov function approach to stabilization of fuzzy control systems
IEEE Transactions on Fuzzy Systems
Stability analysis of discrete-time fuzzy dynamic systems based on piecewise Lyapunov functions
IEEE Transactions on Fuzzy Systems
Automatica (Journal of IFAC)
Stability analysis of polynomial fuzzy models via polynomial fuzzy Lyapunov functions
Fuzzy Sets and Systems
Non-quadratic local stabilization for continuous-time Takagi--Sugeno models
Fuzzy Sets and Systems
Reduced-order dynamic output feedback control of continuous-time T--S fuzzy systems
Fuzzy Sets and Systems
Short Communication: On balancing a cart-pole system using T--S fuzzy model
Fuzzy Sets and Systems
T-S model-based nonlinear moving-horizon H∞ control and applications
Fuzzy Sets and Systems
Engineering Applications of Artificial Intelligence
Information Sciences: an International Journal
Optimal robust adaptive fuzzy H∞ tracking control without reaching phase for nonlinear system
Journal of Control Science and Engineering
Information Sciences: an International Journal
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This paper provides generalized nonquadratic stability conditions for continuous-time nonlinear models in the Takagi-Sugeno (TS) form obtained by sector-nonlinearity approach. Should global quadratic stability fail for a given nonlinear model, the proposed approach allows the obtaining of progressively better estimations of the stability domain via local asymptotic conditions in the form of linear-matrix inequalities (LMIs), which are efficiently solved by convex optimization techniques. Illustrative examples are presented to emphasize the broadening capabilities of the new stability analysis.