General Pontryagin-Type Stochastic Maximum Principle and Backward Stochastic Evolution Equations in Infinite Dimensions

The classical Pontryagin maximum principle (addressed to deterministic finite dimensional control systems) is one of the three milestones in modern control theory. The corresponding theory is by now well-developed in the deterministic infinite dimensional setting and for the stochastic differential...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Lü, Qi (Συγγραφέας), Zhang, Xu (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
Σειρά:SpringerBriefs in Mathematics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Lü, Qi.  |e author. 
245 1 0 |a General Pontryagin-Type Stochastic Maximum Principle and Backward Stochastic Evolution Equations in Infinite Dimensions  |h [electronic resource] /  |c by Qi Lü, Xu Zhang. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2014. 
300 |a IX, 146 p. 1 illus. in color.  |b online resource. 
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520 |a The classical Pontryagin maximum principle (addressed to deterministic finite dimensional control systems) is one of the three milestones in modern control theory. The corresponding theory is by now well-developed in the deterministic infinite dimensional setting and for the stochastic differential equations. However, very little is known about the same problem but for controlled stochastic (infinite dimensional) evolution equations when the diffusion term contains the control variables and the control domains are allowed to be non-convex. Indeed, it is one of the longstanding unsolved problems in stochastic control theory to establish the Pontryagintype maximum principle for this kind of general control systems: this book aims to give a solution to this problem. This book will be useful for both beginners and experts who are interested in optimal control theory for stochastic evolution equations. 
650 0 |a Mathematics. 
650 0 |a Economics, Mathematical. 
650 0 |a System theory. 
650 0 |a Calculus of variations. 
650 0 |a Probabilities. 
650 0 |a Statistics. 
650 1 4 |a Mathematics. 
650 2 4 |a Systems Theory, Control. 
650 2 4 |a Calculus of Variations and Optimal Control; Optimization. 
650 2 4 |a Probability Theory and Stochastic Processes. 
650 2 4 |a Quantitative Finance. 
650 2 4 |a Statistics, general. 
700 1 |a Zhang, Xu.  |e author. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783319066318 
830 0 |a SpringerBriefs in Mathematics,  |x 2191-8198 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-06632-5  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)