000			03867nam a22005895i 4500
001			978-4-431-55013-6
003			DE-He213
005			20200421112042.0
007			cr nn 008mamaa
008			150320s2015 ja | s |||| 0|eng d
020			_a9784431550136 _9978-4-431-55013-6
024	7		_a10.1007/978-4-431-55013-6 _2doi
050		4	_aTA355
050		4	_aTA352-356
072		7	_aTGMD4 _2bicssc
072		7	_aTEC009070 _2bisacsh
072		7	_aSCI018000 _2bisacsh
082	0	4	_a620 _223
245	1	0	_aAnalysis and Control of Complex Dynamical Systems _h[electronic resource] : _bRobust Bifurcation, Dynamic Attractors, and Network Complexity / _cedited by Kazuyuki Aihara, Jun-ichi Imura, Tetsushi Ueta.
264		1	_aTokyo : _bSpringer Japan : _bImprint: Springer, _c2015.
300			_aXIV, 211 p. 103 illus., 45 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aMathematics for Industry, _x2198-350X ; _v7
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			_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.
650		0	_aEngineering.
650		0	_aSystem theory.
650		0	_aPhysics.
650		0	_aComplexity, Computational.
650		0	_aVibration.
650		0	_aDynamical systems.
650		0	_aDynamics.
650	1	4	_aEngineering.
650	2	4	_aVibration, Dynamical Systems, Control.
650	2	4	_aComplexity.
650	2	4	_aComplex Networks.
650	2	4	_aComplex Systems.
700	1		_aAihara, Kazuyuki. _eeditor.
700	1		_aImura, Jun-ichi. _eeditor.
700	1		_aUeta, Tetsushi. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9784431550129
830		0	_aMathematics for Industry, _x2198-350X ; _v7
856	4	0	_uhttp://dx.doi.org/10.1007/978-4-431-55013-6
912			_aZDB-2-ENG
942			_cEBK
999			_c56669 _d56669