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001			291993
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007			cr nn 008mamaa
008			150903s2007 xxk| o |||| 0|eng d
020			_a9781846288296 _99781846288296
024	7		_a10.1007/9781846288296 _2doi
035			_avtls000344037
039		9	_a201509030402 _bVLOAD _c201405050301 _dVLOAD _y201402061246 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
100	1		_aNormey-Rico, J. E. _eautor _9323513
245	1	0	_aControl of Dead-time Processes / _cby J. E. Normey-Rico, E. F. Camacho.
264		1	_aLondon : _bSpringer London, _c2007.
300			_axxvI, 462 páginas 246 ilustraciones _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aAdvanced Textbooks in Control and Signal Processing, _x1439-2232
500			_aSpringer eBooks
505	0		_aDead-time Processes -- Identification of Dead-time Processes -- PID Control of Dead-time Processes -- The Smith Predictor -- Dead-time Compensators for Stable Plants -- Dead-time Compensators for Unstable Plants -- Discrete Dead-time Compensators -- Model Predictive Control of Dead-time Processes -- Robust Predictive Control of Dead-time Processes -- Multivariable Dead-time Compensation -- Robust MPC for MIMO Dead-time Processes -- Control of Nonlinear Dead-time Processes -- Prediction for Control.
520			_aIndustrial processes and engineering, economic and biological systems commonly exhibit time delays or dead times. Dead time complicates the analysis and design of control systems and makes satisfactory control more difficult. Control of Dead-time Processes introduces the fundamental techniques for controlling dead-time processes ranging from simple monovariable to complex multivariable cases. Solutions to dead-time-process-control problems are studied using classical proportional-integral-differential (PID) control for the simpler examples and dead-time-compensator (DTC) and model predictive control (MPC) methods for progressively more complex ones. Although MPC and DTC approaches originate in different areas of control, both use predictors to overcome the effects of dead time. Using this fact, the text analyses MPC as a dead-time-compensation strategy and shows how it can be used synergistically with robust DTC tuning methodologies. Graduate students working for their masters or PhDs in automatic control, chemical, electronic or mechanical engineering, in which dead-time processes are prevalent, will gain particular benefit from the following features of this text: • interlinked study of PID, DTC and MPC for dead-time processes in a single source; • exercises and further reading for each chapter; • extensive use of illustrations, tables and examples; • case studies based on real industrial problems with solutions that are simple to understand and easy to implement; • MATLAB® code developed by the authors to help analyse and control dead-time processes including code for all the examples in the book available for download from www.das.ufsc.br/~julio/deadtimebook and www.esi2.us.es/~eduardo/deadtimebook. Control of Dead-time Processes will also be of interest to control researchers and process control engineers. Chapters 1-8 of the text can be used as part of the final-year course for undergraduates in control or process engineering.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aCamacho, E. F. _eautor _9305911
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781846288289
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84628-829-6 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c291993 _d291993