An introduction to fuzzy control
An introduction to fuzzy control
Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
Stability analysis of fuzzy control systems
Fuzzy Sets and Systems
Fuzzy Control and Fuzzy Systems
Fuzzy Control and Fuzzy Systems
Foundations of Fuzzy Control
Robust Control Design with MATLAB® (Advanced Textbooks in Control and Signal Processing)
Robust Control Design with MATLAB® (Advanced Textbooks in Control and Signal Processing)
Robust stability of single input fuzzy system for control of industrial plants with time delay
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Theoretical advances of intelligent paradigms
Design and stability analysis of single-input fuzzy logiccontroller
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Technical Communique: H∞ stability robustness of fuzzy control systems
Automatica (Journal of IFAC)
Brief Robust stability of fuzzy control systems based on conicity conditions
Automatica (Journal of IFAC)
International Journal of Advanced Intelligence Paradigms
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The industrial applications of fuzzy logic controllers (FLC) for complex, nonlinear, time varying processes with time delay mark a considerable progress. It is inspired by the recent theoretical achievements in the FLC's design and tuning related to system stability and robustness. The design and the FLC simplicity are of crucial importance. There exists an easy design and tuning procedure for a simple single input fuzzy controller (SI FC) that ensures fuzzy system stability and robustness. The SI FC, however, loses some of the richness of the behaviour of the ordinary FLC. The aim of the present investigation is to develop a simple design method for incremental PI-like ordinary FLCs on the basis of the SI FC approach, ensuring stability and robustness in the closed loop system for the control of industrial plants with time delay and model uncertainty. The main contributions are: 1) a design method for FLC, based on modification of the SI FC stability and robustness approach; 2) FLC tuning algorithm. The results are applied for the stabilisation of the air temperature in a furnace using MATLAB™. The advantages of the designed SI FC system are assessed in comparison with SI FC control system via simulations.