000			03754nam a22004455i 4500
001			u372735
003			SIRSI
005			20160812084112.0
007			cr nn 008mamaa
008			100301s2010 xxk| s |||| 0|eng d
020			_a9781848826847 _9978-1-84882-684-7
040			_cMX-MeUAM
050		4	_aTJ212-225
082	0	4	_a629.8 _223
100	1		_aPonce-Cruz, Pedro. _eauthor.
245	1	0	_aIntelligent Control Systems with LabVIEW™ _h[recurso electrónico] / _cby Pedro Ponce-Cruz, Fernando D. Ramírez-Figueroa.
264		1	_aLondon : _bSpringer London, _c2010.
300			_aXIII, 216 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
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.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aElectronics.
650	1	4	_aEngineering.
650	2	4	_aControl.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aElectronics and Microelectronics, Instrumentation.
700	1		_aRamírez-Figueroa, Fernando D. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781848826830
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-84882-684-7
596			_a19
942			_cLIBRO_ELEC
999			_c200615 _d200615