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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Hlavný autor: Bensoussan, Alain (Autor)
Médium: Elektronický zdroj E-kniha
Jazyk:English
Vydavateľské údaje: Cham : Springer International Publishing, 2018.
Vydanie:1st ed. 2018.
Edícia:Interdisciplinary Applied Mathematics, 48
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ISBN:9783319754567
ISSN:0939-6047 ;
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100 1 |a Bensoussan, Alain.  |4 aut 
245 1 0 |a Estimation and Control of Dynamical Systems  |h [electronic resource] /  |c by Alain Bensoussan. 
250 |a 1st ed. 2018. 
260 1 |a Cham :  |b Springer International Publishing,  |c 2018. 
300 |a XII, 547 p.  |b online resource. 
490 1 |a Interdisciplinary Applied Mathematics,  |x 0939-6047 ;  |v 48 
500 |a Mathematics and Statistics  
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. 
516 |a text file PDF 
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. 
650 0 |a Dynamics. 
650 0 |a Ergodic theory. 
650 0 |a Calculus of variations. 
650 0 |a Probabilities. 
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