Fuzzy logic: intelligence, control, and information
Fuzzy logic: intelligence, control, and information
Intelligent Control Systems Using Soft Computing Methodologies
Intelligent Control Systems Using Soft Computing Methodologies
Robust fuzzy logic control of mechanical systems
Fuzzy Sets and Systems - Theme: Fuzzy control
Foundations of Fuzzy Control
Design method for robust PI-like process fuzzy logic controller
FS'08 Proceedings of the 9th WSEAS International Conference on Fuzzy Systems
Robustness of systems with various PI-like fuzzy controllers for industrial plants with time delay
WSEAS Transactions on Circuits and Systems
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
Artificial Intelligence
Controlling the angle of attack of an aircraft using extended SIMC and other tuning rules
International Journal of Advanced Intelligence Paradigms
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Most modern plants are multivariable, non-linear and time-variant. Therefore, they are difficult to model and control especially when measurements are insufficient or imprecise due to variables interactions, disturbances and noise impact. A perspective model-free approach is based on fuzzy logic, which has proved efficient in ensuring both robust and economic control, employing linguistic expert knowledge in production of simple and feasible non-linear controllers that outperform their linear counterparts. The aim of this investigation and the main contributions are related to the development of a method for the design of multivariable robust fuzzy logic controllers and its implementation for the control of a laboratory-scale aerodynamic plant in real time using MATLAB.