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020 _a9781846281969
_99781846281969
024 7 _a10.1007/1846281962
_2doi
035 _avtls000343723
039 9 _a201509030750
_bVLOAD
_c201404120954
_dVLOAD
_c201404090731
_dVLOAD
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_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
100 1 _aBenítez-Pérez, Héctor.
_eautor
_9323599
245 1 0 _aReconfigurable Distributed Control /
_cby Héctor Benítez-Pérez, Fabián García-Nocetti.
264 1 _aLondon :
_bSpringer London,
_c2005.
300 _ax, 138 páginas 108 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _ato Network Communication -- Real-Time Systems -- Smart Peripheral Elements -- Reconfigurable Control -- Case Study.
520 _aDistributed control systems offer the advantages of control local to the process being controlled while retaining the ease of control at a single centralised location. Typically such a system has involved a great deal of hard-wiring and has been of most use only in situations where flexibility is not essential. Now, however, distributed control systems are being applied more often in process control, autonomous systems and safety-critical systems where control needs to change to cope with fault appearance or other (possibly intentional) process disturbance. Reconfigurable Distributed Control helps meet the challenge of applying distributed control to dynamical systems, integrating different approaches to the problem. It presents an holistic view based on the appropriate use of stochastic, formal and robust control paradigms. The use of smart peripheral elements means that the degree of effort required for the reconfiguration of a networked control system can now be reduced, particular emphasis being placed on the reduction of time delays. Case studies are employed to demonstrate the real applications of the theory. While being of most interest to academic researchers and graduate students grappling with the problem of making distributed control systems more responsive to changes in process and plant, Reconfigurable Distributed Control will also be informative for readers with a background in more general distributed computing.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aGarcía-Nocetti, Fabián.
_eautor
_9323600
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781852339548
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/1-84628-196-2
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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