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003 MX-SnUAN
005 20160429154759.0
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008 150903s2010 xxk| o |||| 0|eng d
020 _a9781848826847
_99781848826847
024 7 _a10.1007/9781848826847
_2doi
035 _avtls000344509
039 9 _a201509030408
_bVLOAD
_c201405050308
_dVLOAD
_y201402061259
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTJ212-225
100 1 _aPonce-Cruz, Pedro.
_eautor
_9321577
245 1 0 _aIntelligent Control Systems with LabVIEW™ /
_cby Pedro Ponce-Cruz, Fernando D. Ramírez-Figueroa.
264 1 _aLondon :
_bSpringer London,
_c2010.
300 _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 _aIntelligent Control for LabVIEW -- Fuzzy Logic -- Artificial Neural Networks -- Neuro-fuzzy Controller Theory and Application -- Genetic Algorithms and Genetic Programming -- Simulated Annealing, FCM, Partition Coefficients and Tabu Search -- Predictors.
520 _aIntelligent control is a rapidly developing, complex, and challenging field of increasing practical importance and still greater potential. Its applications have a solid core in robotics and mechatronics but branch out into areas as diverse as process control, automotive industry, medical equipment, renewable energy and air conditioning. Intelligent Control with LabVIEW™ is a fresh and pragmatic approach to the understanding of a subject often clouded by too much mathematical theory. It exploits the full suite of tools provided by LabVIEW™, showing the student how to design, develop, analyze, and visualize intelligent control algorithms quickly and simply. Block diagrams are used to follow the progress of an algorithm through the design process and allow seamless integration with hardware systems for rapid deployment in laboratory experiments. This text delivers a thorough grounding in the main tools of intelligent control: • fuzzy logic systems, emulating human reasoning processes; • artificial neural networks, mimicking our ability to learn; • neuro-fuzzy systems for implementing controller adaptation; • evolutionary methods, using the ideas of genetic evolution for optimization; and • predictive methods, giving information about a system’s future behavior. Intelligent Control with LabVIEW™ facilitates the learning and teaching of its subject by: • extensive use of worked examples; • end-of-chapter problems with separate solutions; and • provision of intelligent control tools for LabVIEW™. Graduate and senior undergraduate students learning about intelligent control will find great help in this textbook’s easy-to-read style and graphical programming approach. The book will be of material assistance to instructors interested in using LabVIEW™-based teaching when designing a course in intelligent control. Researchers in intelligent systems who employ LabVIEW™ as a laboratory tool will also benefit from its dedicated support for intelligent control.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aRamírez-Figueroa, Fernando D.
_eautor
_9321578
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781848826830
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84882-684-7
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c290701
_d290701