System identification with generalized orthonormal basis functions
Automatica (Journal of IFAC) - Special issue on trends in system identification
Minimal partial realization from generalized orthonormal basis function expansions
Automatica (Journal of IFAC)
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In this paper we propose a new modeling technique for LTI multivariable systems using the generalized Orthonormal basis functions with ordinary poles. Once the model structure is built we proceed to update the membership set of the resulting model parameters through the execution of unknown but bounded error identification algorithms. This updating aims to synthesize a robust control strategy.