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

Artikelnummer: 978-3-319-06632-5
Einband: PDF
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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 Pontryagin type 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.
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 Pontryagin type 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.
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VerlagSpringer Nature Switzerland
EinbandPDF
Erscheinungsjahr2014
Seitenangabe146 S.
AusgabekennzeichenEnglisch
AbbildungenIX, 146 p. 1 illus. in color.
Masse1'805 KB
PlattformPDF
ReiheSpringerBriefs in Mathematics; Mathematics and Statistics; Mathematics and Statistics
AutorLü, Qi / Zhang, Xu

Alle Bände der Reihe "SpringerBriefs in Mathematics; Mathematics and Statistics; Mathematics and Statistics (R0)"

Über den Autor Qi Lü

Qi Lü is a professor at School of Mathematics, Sichuan University, Chengdu, China. He is a sectional speaker at International Congress of Mathematicians (Control Theory and Optimization Section, 2022). He is currently an associate editor/editorial board member of several journals including SIAM Journal on Control and Optimization, ESAIM: Control, Optimisation and Calculus of Variations, Annals of Applied Probability and Systems & Control Letters. His research interests include inverse problems and control theory for deterministic and stochastic partial differential equations and stochastic analysis. Yu Wang is an assistant professor at School of Mathematics, Southwest Jiaotong University, Chengdu, China. His research interests include inverse problems and control theory for stochastic partial differential equations.

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