000			04669nam a22005535i 4500
001			978-0-8176-4793-3
003			DE-He213
005			20251006084439.0
007			cr nn 008mamaa
008			110406s2009 xxu| s |||| 0|eng d
020			_a9780817647933
020			_a99780817647933
024	7		_a10.1007/978-0-8176-4793-3 _2doi
100	1		_aChristofides, Panagiotis D. _eauthor.
245	1	0	_aControl and Optimization of Multiscale Process Systems _h[electronic resource] / _cby Panagiotis D. Christofides, Antonios Armaou, Yiming Lou, Amit Varshney.
264		1	_aBoston : _bBirkhäuser Boston, _c2009.
300			_aXX, 212p. 100 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aControl Engineering
505	0		_aMultiscale Process Modeling and Simulation -- Control Using Kinetic Monte Carle Models -- Construction of Stochastic PDEs -- Feedback Control Using Stochastic PDEs -- Optimization of Multiscale Process Systmes -- Dynamic Optimization of Multiscale PDE/kMC Process Systems.
520			_aInterest in the control and optimization of multiscale process systems has been triggered by the need to achieve tight feedback control and optimal operation of complex processes, such as deposition and sputtering of thin films in semiconductor manufacturing, which are characterized by highly coupled macroscopic and microscopic phenomena. Drawing from recent advances in the dynamics and control of distributed parameter processes for which continuum laws are applicable as well as stochastic modeling of phenomena at mesoscopic/microscopic length scales, control and optimization of multiscale process systems has evolved into a very active research area of systems and control engineering. This book-the first of its kind-presents general methods for feedback controller synthesis and optimization of multiscale systems, illustrating their application to thin-film growth, sputtering processes, and catalytic systems of industrial interest. Beginning with an introduction to general issues on control and optimization of multiscale systems and a review of previous work in this area, the book discusses detailed modeling approaches for multiscale processes with emphasis on the theory and implementation of kinetic Monte Carlo simulation, methods for feedback control using kinetic Monte Carlo models, stochastic model construction and parameter estimation, predictive and covariance control using stochastic partial differential equation models, and both steady-state and dynamic optimization algorithms that efficiently address coupled macroscopic and microscopic objectives. Key features of the work: * Demonstrates the advantages of the methods presented for control and optimization through extensive simulations. * Includes new techniques for feedback controller design and optimization of multiscale process systems that are not included in other books. * Illustrates the application of controller design and optimization methods to complex multiscale processes of industrial interest. * Contains a rich collection of new research topics and references to significant recent work. The book requires basic knowledge of differential equations, probability theory, and control theory, and is intended for researchers, graduate students, and process control engineers. Throughout the book, practical implementation issues are addressed to help researchers and engineers understand the development and application of the methods presented in greater depth.
650		0	_aENGINEERING.
650		0	_aCHEMICAL ENGINEERING.
650		0	_aSYSTEMS THEORY.
650		0	_aMATHEMATICAL OPTIMIZATION.
650		0	_aCONTROL ENGINEERING SYSTEMS.
650		0	_aINDUSTRIAL ENGINEERING.
650	1	4	_aENGINEERING.
650	2	4	_aCONTROL , ROBOTICS, MECHATRONICS.
650	2	4	_aSYSTEMS THEORY, CONTROL.
650	2	4	_aOPTIMIZATION.
650	2	4	_aINDUSTRIAL AND PRODUCTION ENGINEERING.
650	2	4	_aMATHEMATICAL MODELING AND INDUSTRIAL MATHEMATICS.
650	2	4	_aINDUSTRIAL CHEMISTRY/CHEMICAL ENGINEERING.
700	1		_aArmaou, Antonios. _eauthor.
700	1		_aLou, Yiming. _eauthor.
700	1		_aVarshney, Amit. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780817647926
830		0	_aControl Engineering
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-8176-4793-3 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-ENG
942			_2ddc _cER
999			_c59790 _d59790