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Optimal control of dynamic systems d...

Ahmed, N. U.

Optimal control of dynamic systems driven by vector measurestheory and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optimal control of dynamic systems driven by vector measuresby N. U. Ahmed, Shian Wang.
其他題名:	theory and applications /
作者:	Ahmed, N. U.
其他作者:	Wang, Shian.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xv, 320 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Control theory.
電子資源:	https://doi.org/10.1007/978-3-030-82139-5
ISBN:	9783030821395$q(electronic bk.)

Optimal control of dynamic systems driven by vector measurestheory and applications /
Ahmed, N. U.

Optimal control of dynamic systems driven by vector measurestheory and applications /[electronic resource] :by N. U. Ahmed, Shian Wang. - Cham :Springer International Publishing :2021. - xv, 320 p. :ill., digital ;24 cm.

1 Mathematical Preliminaries -- 2 Linear Systems -- 3 Nonlinear Systems -- 4 Optimal Control: Existence Theory -- Optimal Control: Necessary Conditions of Optimality -- 6 Stochastic Systems Controlled by Vector Measures -- 7 Applications to Physical Examples -- Bibliography -- Index.

This book is devoted to the development of optimal control theory for finite dimensional systems governed by deterministic and stochastic differential equations driven by vector measures. The book deals with a broad class of controls, including regular controls (vector-valued measurable functions), relaxed controls (measure-valued functions) and controls determined by vector measures, where both fully and partially observed control problems are considered. In the past few decades, there have been remarkable advances in the field of systems and control theory thanks to the unprecedented interaction between mathematics and the physical and engineering sciences. Recently, optimal control theory for dynamic systems driven by vector measures has attracted increasing interest. This book presents this theory for dynamic systems governed by both ordinary and stochastic differential equations, including extensive results on the existence of optimal controls and necessary conditions for optimality. Computational algorithms are developed based on the optimality conditions, with numerical results presented to demonstrate the applicability of the theoretical results developed in the book. This book will be of interest to researchers in optimal control or applied functional analysis interested in applications of vector measures to control theory, stochastic systems driven by vector measures, and related topics. In particular, this self-contained account can be a starting point for further advances in the theory and applications of dynamic systems driven and controlled by vector measures.

ISBN: 9783030821395$q(electronic bk.)

Standard No.: 10.1007/978-3-030-82139-5doiSubjects--Topical Terms:

182248
Control theory.

LC Class. No.: QA402.3 / .A46 2021

Dewey Class. No.: 629.8312

Optimal control of dynamic systems driven by vector measurestheory and applications /
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505 0 $a 1 Mathematical Preliminaries -- 2 Linear Systems -- 3 Nonlinear Systems -- 4 Optimal Control: Existence Theory -- Optimal Control: Necessary Conditions of Optimality -- 6 Stochastic Systems Controlled by Vector Measures -- 7 Applications to Physical Examples -- Bibliography -- Index.
520 $a This book is devoted to the development of optimal control theory for finite dimensional systems governed by deterministic and stochastic differential equations driven by vector measures. The book deals with a broad class of controls, including regular controls (vector-valued measurable functions), relaxed controls (measure-valued functions) and controls determined by vector measures, where both fully and partially observed control problems are considered. In the past few decades, there have been remarkable advances in the field of systems and control theory thanks to the unprecedented interaction between mathematics and the physical and engineering sciences. Recently, optimal control theory for dynamic systems driven by vector measures has attracted increasing interest. This book presents this theory for dynamic systems governed by both ordinary and stochastic differential equations, including extensive results on the existence of optimal controls and necessary conditions for optimality. Computational algorithms are developed based on the optimality conditions, with numerical results presented to demonstrate the applicability of the theoretical results developed in the book. This book will be of interest to researchers in optimal control or applied functional analysis interested in applications of vector measures to control theory, stochastic systems driven by vector measures, and related topics. In particular, this self-contained account can be a starting point for further advances in the theory and applications of dynamic systems driven and controlled by vector measures.
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