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This paper blends the ideas of estimation of model-plant uncertainty from process data with the robust design of generalized predictive control (GPC) based on the small-gain theorem. Classical signal processing methods with appropriate smoothing techniques are used for the estimation of model-plant uncertainty and its upper bound for SISO linear time-invariant systems. The choice of proper input...
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