An indirect model reference adaptive fuzzy control for SISO Takagi-Sugeno model
Fuzzy Sets and Systems - Modeling and control
Information Sciences—Informatics and Computer Science: An International Journal
Paper: A linguistic self-organizing process controller
Automatica (Journal of IFAC)
Neural Computing and Applications - Special Issue on LSMS2010 and ICSEE 2010
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A new methodology of Fuzzy Controllers that can change the internal parameters of the controller in real time is presented in this paper. The Self-structured algorithm is able to adapt their rules consequents and re-organize their MFs in real time according to the current state of the controlled plant. Via a simulation of a temperature control process, the authors have proved and demonstrated the effectiveness and usefulness of their control algorithm compared to a conventional FLC under the same condition and using the same Simulated plant.