Inverse Optimal Control and Inverse Noncooperative Dynamic Game Theory / Communications and Control Engineering (PDF)
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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.
Dr Jairo Inga Charaja received his B.Sc. (2011) and M.Sc. (2014) degrees in electrical engineering and information technology from the Karlsruhe Institute of Technology (KIT), Germany. From 2015 to 2020, he was a research assistant at KIT investigating optimal control and dynamic game theory as a means to model human-machine shared control systems. He graduated summa cum laude with a Ph.D. (2020) at KIT on inverse optimal control and inverse reinforcement learning methods for parameter estimation in dynamic game theory. Since 2020, he has been the leader of the Cooperative Systems research group at the Institute of Control Systems (KIT), where he investigates control-oriented modeling and identification of human behavior as well as the design of cooperative controllers in human-machine systems.
Dr Sören Hohmann is director of the Institute of Control Systems and full professor of system dynamics and control at the Karlsruhe Institute of Technology (KIT). He is
Dr Tristan Perez has over 20 years of experience working in areas of system modelling, inference, and decisions & control. He has worked in academia and industry across different areas such as maritime, aerospace, energy and resources, robotics, business decision support, and network-centric warfare. He is currently with Boeing Defence Australia. He previously was a Professor of Robotics and Autonomous Systems at the Queensland University of Technology (Australia) and has also held academic appointments at The University of Newcastle (Australia), The University of Queensland (Australia), and The Norwegian University of Science and Technology (Norway). Dr Perez completed a Ph.D. in 2003 with focus on constrained control of uncertain systems at the University of Newcastle (Australia) and holds a degree in Electrical Engineering with specialisation in control systems from the University of Rosario (Argentina). Dr Perez is also the author of Ship Motion Control in Springer's Series on Advances in Industrial Control.
- Autoren: Timothy L. Molloy , Jairo Inga Charaja , Sören Hohmann , Tristan Perez
- 2022, 1st ed. 2022, 266 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030933172
- ISBN-13: 9783030933173
- Erscheinungsdatum: 18.02.2022
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- Grösse: 4.05 MB
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