Quantification of model uncertainty for a state-space system

In this communication, the uncertainty domain determination problem for multi-input multi-output systems described with a linear time-invariant state-space representation is adressed. The developed method is based on a two-step approach. The first step consists in estimating the nominal model using a particular least-squares subspace algorithm. Then, the uncertainty domains are described by using a bounded error approach. Simulations are used to highlight the performance of the method.

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