Complexity and multithreaded implementation analysis of one class-classifiers fuzzy combiner
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Comparison of fuzzy combiner training methods
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
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In this paper, Adaptive Neural Fuzzy Inference System (ANFIS) and Fuzzy Subtractive Clustering Method (FSCM) were used to solve non-linearity, trajectory, and interaction problems of Twin Rotor MIMO system (TRMS). Basically, four Fuzzy Logic Controllers (FLC) have been proposed to match the control objectives on TRMS. The four FLCs are considered as high consumers of memory and processing time relatively. New developed controllers are extracted to cope with these problems with less memory and time. Learning data were extracted from training the used conventional FLCs. Simulation results under MATLAB/Simulink® proved the improvement of response and simplicity of controller.