Modelling of uncertain systems via linear programming

Abstract Linear programming methods are useful in problems of identification and model validation for uncertain systems. Several types of priors as well as uncertainty models are easily included. Simulation examples with smoothness priors, Laguerre-model identification and unmodelled dynamics are presented.

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