Output feedback controller design of Takagi-Sugeno fuzzy systems
International Journal of Systems Science
Affine TS-model-based fuzzy regulating/servo control design
Fuzzy Sets and Systems
Multiobjective evolution based fuzzy PI controller design for nonlinear systems
Engineering Applications of Artificial Intelligence
A New Fuzzy Lyapunov Approach to Non-Quadratic Stabilization of Takagi-Sugeno Fuzzy Models
International Journal of Applied Mathematics and Computer Science
Expert Systems with Applications: An International Journal
H∞ output tracking fuzzy control for nonlinear systems with time-varying delay
Applied Soft Computing
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Addresses model-based fuzzy control. A constructive and automated method for the design of a gain-scheduling controller is presented. Based on a given Takagi-Sugeno fuzzy model of the plant, the controller is designed such that stability and prescribed performance of the closed loop are guaranteed. These properties are valid in a wide working range around an equilibrium without restrictions to slowly varying trajectories. The synthesis is based on linear matrix inequalities and convex optimization techniques. If required, a fuzzy state estimator and an extended controller can be included, providing a zero steady-state error in the presence of disturbances and modeling errors. The proposed method has been applied to a control of a laboratory liquid-level process. Hence, the performance has been evaluated in simulations as well as in real-time control.