000			03821nam a22003855i 4500
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
710	2		_aSpringerLink (Online service) _9106996
999			_c111545 _d111545 _x1
001			111545
003			ES-MaUEC
005			20230102113517.0
008			181217s2019 gw a s |||| 0|eng d
020			_a9783030022600
024	7		_a10.1007/978-3-030-02260-0 _2doi
040			_aES-MaUEC _bspa _dES-MaUEC
050		4	_aQA377 _b2019 EB
100	1		_aAruti︠u︡nov, A. V. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _d1956- _q(Aram Vladimirovich),
245	1	0	_aOptimal Impulsive Control : _bThe Extension Approach _cby Aram Arutyunov, Dmitry Karamzin, Fernando Lobo Pereira.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019.
300			_a1 recurso en línea (XXIII, 174 páginas) _b4 ilustraciones,3 ilustraciones a color
347			_atext file _bPDF
490	0		_aLecture Notes in Control and Information Sciences _x0170-8643 _v477
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aIntroduction -- Linear Impulsive Control Problems -- Impulsive Control Problems under Borel Measurability -- Impulsive Control Problems under the Frobenius Condition -- Impulsive Control Problems without the Frobenius Condition -- Impulsive Control Problems with State Constraints -- Impulsive Control Problems with Mixed Constraints -- General Nonlinear Impulsive Control Problems.
520	3		_aOptimal Impulsive Control explores the class of impulsive dynamic optimization problems-problems that stem from the fact that many conventional optimal control problems do not have a solution in the classical setting-which is highly relevant with regard to engineering applications. The absence of a classical solution naturally invokes the so-called extension, or relaxation, of a problem, and leads to the notion of generalized solution which encompasses the notions of generalized control and trajectory; in this book several extensions of optimal control problems are considered within the framework of optimal impulsive control theory. In this framework, the feasible arcs are permitted to have jumps, while the conventional absolutely continuous trajectories may fail to exist. The authors draw together various types of their own results, centered on the necessary conditions of optimality in the form of Pontryagin's maximum principle and the existence theorems, which shape a substantial body of optimal impulsive control theory. At the same time, they present optimal impulsive control theory in a unified framework, introducing the different paradigmatic problems in increasing order of complexity. The rationale underlying the book involves addressing extensions increasing in complexity from the simplest case provided by linear control systems and ending with the most general case of a totally nonlinear differential control system with state constraints. The mathematical models presented in Optimal Impulsive Control being encountered in various engineering applications, this book will be of interest to both academic researchers and practising engineers.
650		7	_aEcuaciones en derivadas parciales _2embne _9145456
700	1		_aKaramzin, Dmitry. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aLobo Pereira, Fernando. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783030022594
776	0	8	_iPrinted edition: _z9783030022617
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-02260-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Robotics
998			_aSI _a_alco _a_vill _b11/2019 _cm _dz _ea _feng _ggw _h0