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This paper proposes a model-free PID fuzzy logic control for parallel robot. This kind control differs from conventional classical and modern control techniques, even existed intelligent controls. Nor precise description of dynamics model neither physical parameter is required for construction of the fuzzy control. Takagi-Sugeno-Kang (TSK) fuzzy approach with extended subtractive clustering computing...
Many modern and intelligent control methods had been developed for nonlinear systems in order to get better motion accuracy and dynamic performance for parallel robot. This paper aims to propose a nouvelle model-free adaptive neural fuzzy feed forward torque control for parallel mechanism. The advantage of this kind model-free control is that it uses the information directly from the nonlinear dynamics,...
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