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008			180801s2019 gw a s |||| 0|eng d
020			_a9783319922041
024	7		_a10.1007/978-3-319-92204-1 _2doi
040			_bspa _aES-MaUEC _cES-MaUEC
050		4	_aQA402.3 _b2019 EB
100			_9671179 _aBarreiro-Gomez, Julian _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	4	_aThe Role of Population Games in the Design of Optimization-Based Controllers : _bA Large-scale Insight _cby Julian Barreiro-Gomez.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019.
300			_a1 recurso en línea (XXIX, 201 páginas) _b61 ilustraciones,55 ilustraciones a color
347			_atext file _bPDF
490	0		_aSpringer Theses Recognizing Outstanding Ph.D. Research _x2190-5053
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aIntroduction -- Literature Review and Background -- Dynamical Tuning for Multi-objective MPC Controllers -- Distributed Predictive Control Using Population Games -- Distributed Formation Control Using Population Games -- Distributed Predictive Control Using Density-dependent Population Games -- Power Index in Control -- Partitioning for Large-scale Systems: Sequential DMPC Design -- Distributed System Partitioning and DMPC -- Contributions and Concluding Remarks.
520	3		_aThis book reports on the implementation of evolutionary-game theory in the design of distributed optimization-based controllers. First, it discusses how the classical population-game approach can contribute to and complement the design of optimization-based controllers. It shows how the features of this approach can be exploited to extend their capabilities in the solution of distributed optimization problems, and examines density games in order to consider multiple coupled constraints and preserve the non-centralized information requirements. Furthermore, it establishes a close relationship between the possible interactions among agents in a population with constrained information sharing among different local controllers. It also discusses coalitional games, focusing on the Shapley power index and proposes an alternative method of computing the latter, which reduces computational time, as well as a different way of finding it using distributed communication structures. All the proposed strategies are then tested on various control problems, such as those related to the Barcelona water supply network, multiple continuous stirred tank reactors, various unmanned aerial vehicle systems, and a water distribution system. This thesis, examined at the Universitat Politècnica de Catalunya and Universidad de los Andes in 2017, received the award for best thesis in control from the control group of the Spanish Committee of Automatic Control (CEA) in the same year.
650		7	_aControl, teoría de _9145606 _2embne
776	0	8	_iPrinted edition: _z9783319922034
776	0	8	_iPrinted edition: _z9783319922058
776	0	8	_iPrinted edition: _z9783030063849
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-92204-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Robotics
998			_aSI _a_alco _a_vill _b10/2019 _cm _dz _ea _feng _ggw _h0