TY  - BOOK
AU  - Molloy,Timothy L.
AU  - Inga Charaja,Jairo
AU  - Hohmann,Sören
AU  - Perez,Tristan
ED  - SpringerLink (Online service)
TI  - Inverse Optimal Control and Inverse Noncooperative Dynamic Game Theory: A Minimum-Principle Approach 
T2  - Communications and Control Engineering,
SN  - 9783030933173
AV  - QA402.3 
PY  - 2022///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Mathematical optimization
KW  - Calculus of variations
KW  - Control engineering
KW  - Mathematics—Philosophy
KW  - System theory
KW  - Control theory
KW  - Calculus of Variations and Optimization
KW  - Control and Systems Theory
KW  - Philosophy of Mathematics
KW  - Systems Theory, Control
KW  - Control theory -- Mathematical models
KW  - Game theory
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-3-030-93317-3
ER  -