The design methodology for the multivariable fuzzy controller and its learning rule

This paper puts forwards a new approach for the systematic design of a multivariable fuzzy control system. The concepts of sliding-mode control and control meta-knowledge are adopted to construct a general-purpose multivariable fuzzy controller, which has the following characteristics: the generalization and simplicity of the control rules; and adaptive ability. Moreover, based on fuzzy cell mapping, the controller can be formally represented, so the proposed adaptive scheme is built on the rigorous mathematical analysis. Finally, the simulation results demonstrate the availability of the proposed approach