Paper machines pose a challenging multivariable control problem.The processes are poorly conditioned and truly large scale, in that thenumber of inputs and outputs can range from 100-1000. Their large scalenature makes it important to account for inaccuracies in the processmodels. A control algorithm is developed that addresses modelinaccuracies in a numerically efficient and effective manner
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