Titlebook: Analysis and Optimization of Systems; Proceedings of the F A. Bensoussan,J. L. Lions Conference proceedings 1980 Springer-Verlag Berlin Hei

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Patrick Mikalef,Elena Parmiggianiso demonstrated and our result is compared with the well-known ones. It is also shown that the discrete least squares estimate based on the sampled data of the continuous-time system here considered is in general not consistent.

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,Simulation d’un train finisseur de laminage à chaud,lations existantes. Après la présentation du modèle mathématique, nous indiquons les méthodes numériques utilisées pour la résolution du problème. Enfin, nous donnons quelques résultats numériques que nous comparons avec les valeurs réelles mesurées sur le train.

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Algebraic criteria of approximate controllability of retarded systems,unctional differential equations. These conditions generalize earlier results of [16], and are stated in an algebraic form. Similar conditions for F-controllability and observability are described. Proofs of these results are deferred to other papers [12][13].

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Musmar: Basic convergence and consistency properties,t with in its early presentation. More specifically, it is shown that, under some conditions, MUSMAR feedback-gain matrix adaptation algorithm is the same as Kleinman‘s iterations for the associated LQ regulation problem. Further, a consistency proof is given for the identification problem of MUSMAR multistep predictive model.

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Least squares identification for continuous-time systems,so demonstrated and our result is compared with the well-known ones. It is also shown that the discrete least squares estimate based on the sampled data of the continuous-time system here considered is in general not consistent.

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Digital Transformation in IndustryA Robust multivariable PI-controller for distributed parameter systems is introduced. The presented theory generalizes Davisons finite-dimensional robust control theory to infinite-dimensional systems..Necessary and sufficient conditions for the existence of the robust controller are given, giving the I-part of the controller.

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Singular perturbation modeling of Markov processes,Finite state continuous time Markov processes with weak interactions are modeled as singularly perturbed systems. Aggregate states are obtained using a grouping algorithm. Two-time scale expansions simplify cost equations and lead to decentralized optimization algorithms.