000			04265nam a22004095i 4500
001			280492
003			MX-SnUAN
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007			cr nn 008mamaa
008			150903s2011 xxk| o |||| 0|eng d
020			_a9780857291950 _99780857291950
024	7		_a10.1007/9780857291950 _2doi
035			_avtls000333835
039		9	_a201509030241 _bVLOAD _c201404130542 _dVLOAD _c201404092331 _dVLOAD _y201402041133 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTJ212-225
100	1		_aCaccavale, Fabrizio. _eautor _9305449
245	1	0	_aControl and Monitoring of Chemical Batch Reactors / _cby Fabrizio Caccavale, Mario Iamarino, Francesco Pierri, Vincenzo Tufano.
264		1	_aLondon : _bSpringer London : _bImprint: Springer, _c2011.
300			_axvii, 186 páginas 62 ilustraciones en color. _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		_aAdvances in Industrial Control, _x1430-9491
500			_aSpringer eBooks
505	0		_aIntroduction -- Modeling of Chemical Batch Reactors -- Identification of Kinetic Parameters -- Model-based Control -- Fault Diagnosis -- Conclusions and New Directions.
520			_aMethodological and technological problems related to batch chemical reactors are often very challenging and require contributions from experts in several disciplines (chemistry, chemical engineering, materials science, control engineering, measurement and sensing). A number of problems have to be tackled when dealing with batch reactors in industrial applications, ranging from design and planning of the plant to scheduling, optimization and performance achievement of batch operations. In order to meet such requirements, some fundamental issues need to be faced: modeling of the reactor and of the process, identification of the parameters in the mathematical models, control of the variables characterizing the process and early diagnosis of failures.Control and Monitoring of Chemical Batch Reactors is aimed at tackling the above problems from a blending of academic and industrial perspectives. Advanced solutions (i.e., those based on recent research results) to the fundamental problems of modeling, identification, control and fault diagnosis for batch processes are developed in detail in distinct chapters. In each chapter, a general overview of foundational concepts is also given, together with a review of recent and classical literature on the various subjects.To provide a unitary treatment of the different topics and give a firm link to the underlying practical applications, a single case study is developed through the course of the book. Namely, a batch process of industrial interest, i.e., the phenol-formaldehyde reaction, is adopted to test the proposed techniques . In this way, a roadmap for the development of control and diagnosis systems is provided, ranging from the early stages of the production process to the complete design of control and diagnosis systems.Hence, the book is directed to both industrial practitioners and academic researchers, although it is also suitable for adoption in advanced post-graduate level courses focused on process control, control applications and nonlinear control.Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aIamarino, Mario. _eautor _9305450
700	1		_aPierri, Francesco. _eautor _9305451
700	1		_aTufano, Vincenzo. _eautor _9305452
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9780857291943
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-85729-195-0 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c280492 _d280492