000			04074nam a22003855i 4500
001			85512
003			ES-MaUEC
005			20230207040514.0
007			cr nn 008mamaa
008			160519s2016 gw | s |||| 0|eng d
020			_a9783319288604
040			_aES-MaUEC
050		4	_aTJ213 _b.C667 2016
082	0	4	_a629.8
245	1	0	_aComplex Systems : _bRelationships between Control, Communications and Computing _cedited by Georgi M Dimirovski
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (LXXVI, 652 páginas) _b318 ilustraciones, 118 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aStudies in Systems, Decision and Control _x2198-4182 _v55
505	0		_aIntroduction -- Part I Control and Supervision for Complex Networks and Systems -- Part II Machine Intelligence and Learning in Complex Control Systems -- Part III Control and Supervision of Complex Mechanical Structures and Robots -- Part IV Control and Supervision in Multi-Agent and Industrial Systems -- Part V Attenuation of Uncertain Disturbances through Fast Control Inputs Attenuation -- Concluding Remarks: A Look Forward to the Future.
520	3		_aThis book gives a wide-ranging description of the many facets of complex dynamic networks and systems within an infrastructure provided by integrated control and supervision: envisioning, design, experimental exploration, and implementation. The theoretical contributions and the case studies presented can reach control goals beyond those of stabilization and output regulation or even of adaptive control. Reporting on work of the Control of Complex Systems (COSY) research program, Complex Systems follows from and expands upon an earlier collection: Control of Complex Systems by introducing novel theoretical techniques for hard-to-control networks and systems. The major common feature of all the superficially diverse contributions encompassed by this book is that of spotting and exploiting possible areas of mutual reinforcement between control, computing and communications. These help readers to achieve not only robust stable plant system operation but also properties such as collective adaptivity, integrity and survivability at the same time retaining desired performance quality. Applications in the individual chapters are drawn from: · the general implementation of model-based diagnosis and systems engineering in medical technology, in communication, and in power and airport networks; · the creation of biologically inspired control brains and safety-critical human�machine systems; · process-industrial uses; · biped robots; · large space structures and unmanned aerial vehicles; and · precision servomechanisms and other advanced technologies. Complex Systems provides researchers from engineering, applied mathematics and computer science backgrounds with innovative theoretical and practical insights into the state-of-the-art of complex networks and systems research. It employs physical implementations and extensive computer simulations. Graduate students specializing in complex-systems research will also learn much from this collection.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, asignarmaterias , EBSPRINGER
650	0	7	_aSistemas, Teoría de _0 _2embne _9141328
650		7	_aComplejidad computacional _0(OCoLC)871991 _2embne _0 _9165250
700	1		_aDimirovski, Georgi M. _eeditor literario _998527 _0Local
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-28860-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319288604
907			_a.b12947908 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0
945			_aTJ213 .C667 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11591419 _z06-04-17
999			_c85512 _d85512 _x1