Continuous-time Markov jump linear systems
It has been widely recognized nowadays the importance of introducing mathematical models that take into account possible sudden changes in the dynamical behavior of high-integrity systems or a safety-critical system. Such systems can be found in aircraft control, nuclear power stations, robotic man...
שמור ב:
| Auteurs principaux: | , , |
|---|---|
| פורמט: | Livre numérique |
| שפה: | Anglais |
| יצא לאור: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| מהדורה: | 1st ed. 2013. |
| סדרה: | Probability and Its Applications
|
| גישה מקוונת: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| הערה: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Continuous-Time Markov Jump Linear Systems, Texte imprimé, 9783642341014 • Continuous-Time Markov Jump Linear Systems, Texte imprimé, 9783642431128 • Continuous-time Markov jump linear systems, Oswaldo L. V. Costa, Marcelo D. Fragoso, Marcos G. Todorov, Berlin, Springer, 2013, 1 vol. (XII-286 p.), Probability and its applications, 978-3-642-34099-4 |
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| 100 | 1 | |a Costa, Oswaldo Luiz do Valle. | |
| 245 | 1 | 0 | |a Continuous-time Markov jump linear systems |c by Oswaldo L.V. Costa, Marcelo D. Fragoso, Marcos G. Todorov. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Probability and Its Applications | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 1.Introduction 2.A Few Tools and Notations 3.Mean Square Stability 4.Quadratic Optimal Control with Complete Observations 5.H2 Optimal Control With Complete Observations 6.Quadratic and H2 Optimal Control with Partial Observations 7.Best Linear Filter with Unknown (x(t), (t)) 8.H_ | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a It has been widely recognized nowadays the importance of introducing mathematical models that take into account possible sudden changes in the dynamical behavior of high-integrity systems or a safety-critical system. Such systems can be found in aircraft control, nuclear power stations, robotic manipulator systems, integrated communication networks and large-scale flexible structures for space stations, and are inherently vulnerable to abrupt changes in their structures caused by component or interconnection failures. In this regard, a particularly interesting class of models is the so-called Markov jump linear systems (MJLS), which have been used in numerous applications including robotics, economics and wireless communication. Combining probability and operator theory, the present volume provides a unified and rigorous treatment of recent results in control theory of continuous-time MJLS. This unique approach is of great interest to experts working in the field of linear systems with Markovian jump parameters or in stochastic control. The volume focuses on one of the few cases of stochastic control problems with an actual explicit solution and offers material well-suited to coursework, introducing students to an interesting and active research area. The book is addressed to researchers working in control and signal processing engineering. Prerequisites include a solid background in classical linear control theory, basic familiarity with continuous-time Markov chains and probability theory, and some elementary knowledge of operator theory. | ||
| 700 | 1 | |a Fragoso, Marcelo Dutra, |d 19..- |4 aut | |
| 700 | 1 | |a Todorov, Marcos G. |4 aut | |
| 700 | 1 | |a Fragoso, Marcelo Dutra, |d 19..- |4 aut | |
| 700 | 1 | |a Todorov, Marcos G. |4 aut | |
| 776 | 0 | |t Continuous-Time Markov Jump Linear Systems |b Texte imprimé |z 9783642341014 | |
| 776 | 0 | |t Continuous-Time Markov Jump Linear Systems |b Texte imprimé |z 9783642431128 | |
| 776 | 0 | |0 168381966 |t Continuous-time Markov jump linear systems |f Oswaldo L. V. Costa, Marcelo D. Fragoso, Marcos G. Todorov |c Berlin |n Springer |d 2013 |p 1 vol. (XII-286 p.) |s Probability and its applications |z 978-3-642-34099-4 | |
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| 856 | 4 | |5 452349901:748044760 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-642-34100-7 |z Accès Université d'Orléans | |
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