000			03842nam a22004095i 4500
999			_c103858 _d103858 _x1
001			103858
003			DE-He213
005			20230102113149.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			150320s2015 ja | s |||| 0|eng d
020			_a9784431550136
024	7		_a10.1007/978-4-431-55013-6 _2doi
040			_bspa _dES-MaUEC
050		4	_aTJ213 _b2015 EB
245	1	0	_aAnalysis and Control of Complex Dynamical Systems _bRobust Bifurcation, Dynamic Attractors, and Network Complexity _cedited by Kazuyuki Aihara, Jun-ichi Imura, Tetsushi Ueta.
264		1	_aTokyo _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XIV, 211 páginas 103 ilustraciones, 45 ilustraciones a color.)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aMathematics for Industry, _x2198-350X ; _v7
490	0		_aEngineering (Springer-11647)
505	0		_aPart I Robust Bifurcation and Control -- Dynamic Robust Bifurcation Analysis -- Robust Bifurcation Analysis Based on Degree of Stability -- Use of a Matrix Inequality Technique for Avoiding Undesirable Bifurcation -- A Method for Constructing a Robust System Against Unexpected Parameter Variation -- Parametric Control to Avoid Bifurcation Based on Maximum Local Lyapunov Exponent -- Threshold Control for Stabilization of Unstable Periodic Orbits in Chaotic Hybrid Systems -- Part II Dynamic Attractor and Control -- Chaotic Behavior of Orthogonally Projective Triangle Folding Map -- Stabilization Control of Quasi-Periodic Orbits -- Feedback Control Method Based on Predicted Future States for Controlling Chaos -- Ultra-Discretization of Nonlinear Control System with Spatial Symmetry -- Feedback Control of Spatial Patterns in Reaction-Diffusion System -- Control of Unstabilizable Switched Systems -- Part III Complex Networks and Modeling for Control -- Clustered Model Reduction of Large-Scale Bidirectional Networks -- Network Structure Identification from a Small Number of Inputs/Outputs.
520	3		_aThis book is the first to report on theoretical breakthroughs on control of complex dynamical systems developed by collaborative researchers in the two fields of dynamical systems theory and control theory. As well, its basic point of view is of three kinds of complexity: bifurcation phenomena subject to model uncertainty, complex behavior including periodic/quasi-periodic orbits as well as chaotic orbits, and network complexity emerging from dynamical interactions between subsystems. Analysis and Control of Complex Dynamical Systems offers a valuable resource for mathematicians, physicists, and biophysicists, as well as for researchers in nonlinear science and control engineering, allowing them to develop a better fundamental understanding of the analysis and control synthesis of such complex systems.
988			_aEBSPRINGER_2018
650		7	_9145606 _aControl, Teoría de
700	1		_aAihara, Kazuyuki. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/21838437/
700	1		_aImura, Jun-ichi. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/256925340/
700	1		_aUeta, Tetsushi. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/no2003118152 _1http://viaf.org/viaf/7628456/
776	0	8	_iEdición impresa: _z9784431550143
776	0	8	_iEdición impresa: _z9784431550129
776	0	8	_iEdición impresa: _z9784431563877
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-4-431-55013-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2019 _dz _eIG _zSI