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024 7 _a10.1007/978-3-319-28860-4
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050 4 _aTJ212-225
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245 1 0 _aComplex Systems
_h[electronic resource] :
_bRelationships between Control, Communications and Computing /
_cedited by Georgi M. Dimirovski.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aLXXVI, 652 p. 318 illus., 118 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 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_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 _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.
650 0 _aControl engineering.
_931970
650 0 _aComputer networks .
_931572
650 0 _aSystem theory.
_93409
650 0 _aTelecommunication.
_910437
650 1 4 _aControl and Systems Theory.
_931972
650 2 4 _aComputer Communication Networks.
_953681
650 2 4 _aComplex Systems.
_918136
650 2 4 _aCommunications Engineering, Networks.
_931570
700 1 _aDimirovski, Georgi M.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_953682
710 2 _aSpringerLink (Online service)
_953683
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319288581
776 0 8 _iPrinted edition:
_z9783319288598
776 0 8 _iPrinted edition:
_z9783319804439
830 0 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v55
_953684
856 4 0 _uhttps://doi.org/10.1007/978-3-319-28860-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
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