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Nonlinear Model-predictive Control of Wiener-type Systems in Continuous-time Domain Using a Fuzzy - system Function Approximation

This paper presents a method of continuous-time model predictive control for nonlinear Wiener-type systems. The system's output nonlinear mapping is approximated by the means of fuzzy systems, and is inherently incorporated in the predictive control scheme; thus, inverting the output function is not necessary. The predictive control law is derived in an analytical form to avoid the problems with non-convex optimization in each time step. A simulation experiment is conducted to present the control quality in the case of a pH-neutralization process with a heavily nonlinear output mapping.