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1. |
Record Nr. |
UNICAMPANIASUN0113699 |
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Autore |
Kytmanov, Alexander M. |
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Titolo |
Multidimensional integral representations : problems of analytic continuation / Alexander M. Kytmanov, Simona G. Myslivets |
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Pubbl/distr/stampa |
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Edizione |
[[Cham] : Springer, 2015] |
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Descrizione fisica |
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Pubblicazione in formato elettronico |
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Altri autori (Persone) |
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Soggetti |
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32A50 - Harmonic analysis of several complex variables [MSC 2020] |
32A40 - Boundary behavior of holomorphic functions of several complex variables [MSC 2020] |
32A25 - Integral representations; canonical kernels (Szegó, Bergman, etc.) [MSC 2020] |
32A26 - Integral representations, constructed kernels (e.g. Cauchy, Fantappiè-type kernels) [MSC 2020] |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910484927803321 |
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Autore |
Heij C. |
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Titolo |
Introduction to Mathematical Systems Theory : Discrete Time Linear Systems, Control and Identification / / by Christiaan Heij, André C.M. Ran, Frederik van Schagen |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2021 |
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ISBN |
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Edizione |
[2nd ed. 2021.] |
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Descrizione fisica |
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1 online resource (199 pages) |
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Collana |
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Mathematics and Statistics Series |
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Disciplina |
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Soggetti |
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System theory |
Control theory |
Mathematics |
Probabilities |
Mathematics - Data processing |
Systems Theory, Control |
Applications of Mathematics |
Probability Theory |
Computational Science and Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Preface -- Dynamical Systems -- Input-Output Systems -- State Space Models -- Stability -- Optimal Control -- Stochastic Systems -- Filtering and Prediction -- Stochastic Control -- System Identification -- Cycles and Trends -- Further Developments. |
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Sommario/riassunto |
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This book provides an introduction to the theory of linear systems and control for students in business mathematics, econometrics, computer science, and engineering. The focus is on discrete time systems, which are the most relevant in business applications, as opposed to continuous time systems, requiring less mathematical preliminaries. The subjects treated are among the central topics of deterministic linear system theory: controllability, observability, realization theory, stability and stabilization by feedback, LQ-optimal control theory. Kalman filtering and LQC-control of stochastic systems are also |
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discussed, as are modeling, time series analysis and model specification, along with model validation. This second edition has been updated and slightly expanded. In addition, supplementary material containing the exercises are now available on the Springer Link's book website. |
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