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Inverse optimal control and inverse ...

Molloy, Timothy L.

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Inverse optimal control and inverse noncooperative dynamic game theory = a minimum-principle approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Inverse optimal control and inverse noncooperative dynamic game theory/ by Timothy L. Molloy ... [et al.].
其他題名:	a minimum-principle approach /
其他作者:	Molloy, Timothy L.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xv, 266 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- Chapter 1. Discrete-Time Inverse Optimal Control -- Chapter 2. Continuous-Time Inverse Optimal Control -- Chapter 3. Inverse Noncooperative Dynamic Games -- Chapter 4. Inverse Noncooperative Differential Games -- Applications.
Contained By:	Springer Nature eBook
標題:	Control theory - Mathematical models. -
電子資源:	https://doi.org/10.1007/978-3-030-93317-3
ISBN:	9783030933173

Inverse optimal control and inverse noncooperative dynamic game theory = a minimum-principle approach /
Inverse optimal control and inverse noncooperative dynamic game theorya minimum-principle approach /[electronic resource] :by Timothy L. Molloy ... [et al.]. - Cham :Springer International Publishing :2022. - xv, 266 p. :ill. (some col.), digital ;24 cm. - Communications and control engineering,2197-7119. - Communications and control engineering..

Introduction -- Chapter 1. Discrete-Time Inverse Optimal Control -- Chapter 2. Continuous-Time Inverse Optimal Control -- Chapter 3. Inverse Noncooperative Dynamic Games -- Chapter 4. Inverse Noncooperative Differential Games -- Applications.

This book presents a novel unified treatment of inverse problems in optimal control and noncooperative dynamic game theory. It provides readers with fundamental tools for the development of practical algorithms to solve inverse problems in control, robotics, biology, and economics. The treatment involves the application of Pontryagin's minimum principle to a variety of inverse problems and proposes algorithms founded on the elegance of dynamic optimization theory. There is a balanced emphasis between fundamental theoretical questions and practical matters. The text begins by providing an introduction and background to its topics. It then discusses discrete-time and continuous-time inverse optimal control. The focus moves on to differential and dynamic games and the book is completed by consideration of relevant applications. The algorithms and theoretical results developed in Inverse Optimal Control and Inverse Noncooperative Dynamic Game Theory provide new insights into information requirements for solving inverse problems, including the structure, quantity, and types of state and control data. These insights have significant practical consequences in the design of technologies seeking to exploit inverse techniques such as collaborative robots, driver-assistance technologies, and autonomous systems. The book will therefore be of interest to researchers, engineers, and postgraduate students in several disciplines within the area of control and robotics.

ISBN: 9783030933173

Standard No.: 10.1007/978-3-030-93317-3doiSubjects--Topical Terms:

768552
Control theory
--Mathematical models.

LC Class. No.: QA402.3

Dewey Class. No.: 003.5

Inverse optimal control and inverse noncooperative dynamic game theory = a minimum-principle approach /
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520 $a This book presents a novel unified treatment of inverse problems in optimal control and noncooperative dynamic game theory. It provides readers with fundamental tools for the development of practical algorithms to solve inverse problems in control, robotics, biology, and economics. The treatment involves the application of Pontryagin's minimum principle to a variety of inverse problems and proposes algorithms founded on the elegance of dynamic optimization theory. There is a balanced emphasis between fundamental theoretical questions and practical matters. The text begins by providing an introduction and background to its topics. It then discusses discrete-time and continuous-time inverse optimal control. The focus moves on to differential and dynamic games and the book is completed by consideration of relevant applications. The algorithms and theoretical results developed in Inverse Optimal Control and Inverse Noncooperative Dynamic Game Theory provide new insights into information requirements for solving inverse problems, including the structure, quantity, and types of state and control data. These insights have significant practical consequences in the design of technologies seeking to exploit inverse techniques such as collaborative robots, driver-assistance technologies, and autonomous systems. The book will therefore be of interest to researchers, engineers, and postgraduate students in several disciplines within the area of control and robotics.
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