Fuzzy control theory: a nonlinear case
Automatica (Journal of IFAC)
Robust adaptive control
Feedback Control of Dynamic Systems
Feedback Control of Dynamic Systems
Fuzzy Logic for Embedded Systems Applications
Fuzzy Logic for Embedded Systems Applications
Multiobjective evolution based fuzzy PI controller design for nonlinear systems
Engineering Applications of Artificial Intelligence
Gain-scheduled Takagi-Sugeno fuzzy PI control methodology for LPV systems
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Takagi-Sugeno fuzzy control method for nonlinear systems
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Fuzzy frequency response: Proposal and application for uncertain dynamic systems
Engineering Applications of Artificial Intelligence
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This paper proposes the analysis and design of robust fuzzy control to nonlinear systems with time delay. The nonlinear system to be controlled, is studied in the context of Linear Parameters Varying (LPV) systems, it is partitioned into several linear sub-models of second order with time delay, in terms of transfer function, forming a convex polytope. Once defined the linear sub-models of the plant, these are organized into fuzzy Takagi-Sugeno (TS) structure. From the Parallel Distributed Compensation (PDC) strategy, a mathematical formulation is defined in the frequency domain, based on the gain and phase margins specifications, to obtain robust PID subcontrollers in accordance to the Takagi-Sugeno fuzzy model of the plant. Results for the robust stability conditions with the proposal of one Axiom and two Theorems are also presented.