Design of Type-2 Fuzzy Controller based on LQR Mapped Fusion Function
Rule number explosion in fuzzy controller and "Uncertainty" in the model are two main issues in the design of fuzzy control systems. To overcome these problems, the authors have applied a method in which a linear sensory fusion function has been used to reduce the number of dimensions of fuzzy controller's inputs and simultaneously use the features of LQR control. Since, in type-2 fuzzy control, the degree of fuzziness increased and it can better handle the uncertainty in the model compared to conventional fuzzy, so the method of sensory fusion with type-2 fuzzy control scheme has been combined to make the controller more robust w.r.t. the parameter variation, perturbation and uncertainty in the model.