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008			220218s2022 sz | s |||| 0|eng d
020			_a9783030933173
024	7		_a10.1007/978-3-030-93317-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA402.3 _b2022 EB
100	1		_aMolloy, Timothy L. _eautor _0(orcid)0000-0002-6797-5617 _1https://orcid.org/0000-0002-6797-5617 _4aut _4http://id.loc.gov/vocabulary/relators/aut _9683983
245	1	0	_aInverse Optimal Control and Inverse Noncooperative Dynamic Game Theory : _bA Minimum-Principle Approach _cby Timothy L. Molloy, Jairo Inga Charaja, Sören Hohmann, Tristan Perez
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XV, 266 páginas) _b10 ilustraciones, 7 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aCommunications and Control Engineering _x2197-7119
505	0		_aIntroduction -- 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.
520			_aThis 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.
988			_aSpringer_Engineering_2022
650		7	_2embne _9145606 _aControl, Teoría de
650		7	_2embne _aTeoría de juegos _9686845
650		7	_2embne _9139822 _aProgramación matemática
700	1		_aInga Charaja, Jairo _eautor _0(orcid)0000-0001-6554-9457 _1https://orcid.org/0000-0001-6554-9457 _4aut _4http://id.loc.gov/vocabulary/relators/aut _9683984
700	1		_aHohmann, Sören _eautor _0(orcid)0000-0002-4170-1431 _1https://orcid.org/0000-0002-4170-1431 _4aut _4http://id.loc.gov/vocabulary/relators/aut _9683985
700	1		_aPerez, Tristan, _d1972- _eautor _0(orcid)0000-0003-1486-2202 _1https://orcid.org/0000-0003-1486-2202 _4aut _4http://id.loc.gov/vocabulary/relators/aut _9683986
776	0	8	_iPrinted edition: _z9783030933166
776	0	8	_iPrinted edition: _z9783030933180
776	0	8	_iPrinted edition: _z9783030933197
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-93317-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b05/2022 _dz _esc _zSI