000			04180nam a22004575i 4500
999			_c361945 _d361945 _x1
001			361945
003			ES-MaUEC
005			20230102121449.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			220127s2021 gw | s |||| 0|eng d
020			_a9783030632816
024	7		_a10.1007/978-3-030-63281-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTJ217.6 _b2021 EB
245	0	0	_aRecent Advances in Model Predictive Control : _bTheory, Algorithms, and Applications _cedited by Timm Faulwasser, Matthias A. Müller, Karl Worthmann
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (IX, 244 páginas) _b 53 ilustraciones, 41 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes in Control and Information Sciences _x0170-8643 _v485
490	0		_aEngineering (SpringerNature-11647)
490	0		_aEngineering (R0) (SpringerNature-43712)
505	0		_aPredictive path-following without terminal constraints -- Dissipativity in economic model predictive control: beyond steady-state optimality -- Primal or dual terminal constraints in Economic MPC? -s Comparison and insights -- Multi-level iterations for economic nonlinear model predictive control -- On closed-loop dynamics of ADMM-based MPC -- Distributed optimization and control with ALADIN -- Model predictive control for the internet of things -- Hybrid GP modeling applied to economic stochastic MPC of batch processes -- Collision avoidance for mobile robots based on an occupancy grid.
520	3		_aThis book focuses on distributed and economic Model Predictive Control (MPC) with applications in different fields. MPC is one of the most successful advanced control methodologies due to the simplicity of the basic idea (measure the current state, predict and optimize the future behavior of the plant to determine an input signal, and repeat this procedure ad infinitum) and its capability to deal with constrained nonlinear multi-input multi-output systems. While the basic idea is simple, the rigorous analysis of the MPC closed loop can be quite involved. Here, distributed means that either the computation is distributed to meet real-time requirements for (very) large-scale systems or that distributed agents act autonomously while being coupled via the constraints and/or the control objective. In the latter case, communication is necessary to maintain feasibility or to recover system-wide optimal performance. The term economic refers to general control tasks and, thus, goes beyond the typically predominant control objective of set-point stabilization. Here, recently developed concepts like (strict) dissipativity of optimal control problems or turnpike properties play a crucial role. The book collects research and survey articles on recent ideas and it provides perspectives on current trends in nonlinear model predictive control. Indeed, the book is the outcome of a series of six workshops funded by the German Research Foundation (DFG) involving early-stage career scientists from different countries and from leading European industry stakeholders.
988			_aSpringer_Engineering_2021
650		7	_2embne _9667714 _aSistemas no lineales
650		7	_2embne _aControl automático _9405125
700	1		_aFaulwasser, Timm _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt _9681269
700	1		_aMüller, Matthias A. _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt _9681270
700	1		_aWorthmann, Karl _eeditor literario _4http://id.loc.gov/vocabulary/relators/edt _9681271
776	0	8	_iPrinted edition: _z9783030632809
776	0	8	_iPrinted edition: _z9783030632823
776	0	8	_iPrinted edition: _z9783030632830
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-63281-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2022 _dz _eIG _zSI