Wudhichai Assawinchaichote

TL;DR: In this paper, a fuzzy H/sub /spl infin/ controller is proposed for singularly perturbed nonlinear systems, which guarantees that the L/sub 2/gain from an exogenous input to a filter error is less than or equal to a prescribed value.

TL;DR: Solutions to the problem of designing a robust H"~ output feedback controller for a class of singularly perturbed systems described by a Takagi-Sugeno fuzzy model are presented in terms of LMIs which are independent of the singular perturbation.

TL;DR: This article addresses the problem of continuous-time dynamic sliding mode control for Takagi–Sugeno fuzzy nonlinear systems based on an event-triggered mechanism by establishing a novel sliding mode dynamic system and developing a new Lyapunov function and reciprocally convex method.

TL;DR: A state-feedback controller is developed that guarantees the L"2-gain of the mapping from the exogenous input noise to the regulated output is less than some prescribed value and the closed-loop system is D-stable.

TL;DR: The genetic algorithm optimized PID controller provide an improved closed-loop are performed than the Ziegler- Nichols, tuning method automatic tuning method and particle swarm optimization (PSO).