Robust Predictive Control using a GOBF Model for MISO Systems

In this paper we develop a new method for robust predictive control for MISO systems represented on the generalized orthonormal basis functions. Unknown but bounded error approaches are used to update the uncertainty domain of the resultant model coefficients. This method uses a worst case strategy solved by a min-max optimisation problem taking into account the constraints relative to parameter uncertainties and to measurement signals.

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