Estimation and Control of Dynamical Systems

This book provides a comprehensive presentation of classical and advanced topics in estimation and control of dynamical systems with an emphasis on stochastic control. Many aspects which are not easily found in a single text are provided, such as connections between control theory and mathematical f...

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Bibliographic Details
Main Author: Bensoussan, Alain
Format: eBook
Language:English
Published: Cham Springer International Publishing 2018, 2018
Edition:1st ed. 2018
Series:Interdisciplinary Applied Mathematics
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Estimation and Control of Dynamical Systems  |h Elektronische Ressource  |c by Alain Bensoussan 
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260 |a Cham  |b Springer International Publishing  |c 2018, 2018 
300 |a XII, 547 p  |b online resource 
505 0 |a Introduction -- State Representation of Linear Dynamical Systems -- Optimal Control of Linear Dynamical Systems -- Estimation Theory -- Further Techniques of Estimation -- Compliments on Probability Theory -- Filtering Theory in Continuous Time -- Stochastic Control of Linear Dynamic Systems with Full Information -- Stochastic Control of Linear Dynamical Systems with Partial Information -- Deterministic Optimal Control -- Stochastic Optimal Control -- Additional Results for BSDE -- Stochastic Control Problems in Finance -- Stochastic Control for Non-Markov Processes -- Principal Agent Control Problems -- Differential Games -- Stackelberg Differential Games -- Target Problems 
653 |a Dynamical Systems and Ergodic Theory 
653 |a Calculus of Variations and Optimal Control; Optimization 
653 |a Ergodic theory 
653 |a Probability Theory and Stochastic Processes 
653 |a Calculus of variations 
653 |a Probabilities 
653 |a Dynamics 
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989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Interdisciplinary Applied Mathematics 
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520 |a This book provides a comprehensive presentation of classical and advanced topics in estimation and control of dynamical systems with an emphasis on stochastic control. Many aspects which are not easily found in a single text are provided, such as connections between control theory and mathematical finance, as well as differential games. The book is self-contained and prioritizes concepts rather than full rigor, targeting scientists who want to use control theory in their research in applied mathematics, engineering, economics, and management science. Examples and exercises are included throughout, which will be useful for PhD courses and graduate courses in general. Dr. Alain Bensoussan is Lars Magnus Ericsson Chair at UT Dallas and Director of the International Center for Decision and Risk Analysis which develops risk management research as it pertains to large-investment industrial projects that involve new technologies, applications and markets. He is also Chair Professor at City University Hong Kong