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...

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Auteurs principaux: Costa, Oswaldo Luiz do Valle, Fragoso, Marcelo Dutra, 19..- (Auteur), Todorov, Marcos G. (Auteur)
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. 
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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_ 
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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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