000			03009nam a22003978i 4500
001			CR9780511978760
003			UkCbUP
005			20200124160234.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			101014s2012||||enk o ||1 0|eng|d
020			_a9780511978760 (ebook)
020			_z9780521191708 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aTP155.75 _b.B35 2012
082	0	0	_a515/.724 _223
100	1		_aBaldea, Michael, _eauthor.
245	1	0	_aDynamics and nonlinear control of integrated process systems / _cMichael Baldea, TheUniversity of Texas at Austin, Prodromos Daoutidis, University of Minnesota.
246	3		_aDynamics & Nonlinear Control of Integrated Process Systems
264		1	_aCambridge : _bCambridge University Press, _c2012.
300			_a1 online resource (xiii, 257 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aCambridge series in chemical engineering
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	8		_aMachine generated contents note: Part I. Preliminaries: 1. Introduction; 2. Singular perturbation theory; Part II. Process Systems with Material Integration: 3. Process systems with significant material recycling; 4. Process systems with purge streams; 5. Dynamics and control of generalized integrated process systems; Part III. Process Systems with Energy Integration: 6. Process systems with energy recycling; 7. Process systems with high energy throughput; References; Part IV. Appendices: A. Definitions; B. Systems with multiple time scale dynamics; C. MATLAB code.
520			_aPresenting a systematic model reduction and hierarchical controller design framework for broad classes of integrated process systems encountered in practice, this book first studies process systems with large material recycle and/or with small purge streams, followed by systems with energy integration. Step-by-step model reduction procedures are developed to derive nonlinear reduced models of the dynamics in each time scale. Hierarchical control architectures consisting of coordinated levels of control action in different time scales are proposed for each class of process systems considered to enforce stability, tracking performance and disturbance rejection. Numerous process applications are discussed in detail to illustrate the application of the methods and their potential to improve process operations. MATLAB codes are also presented to guide further application of the methods developed and facilitate practical implementations.
650		0	_aChemical process control.
650		0	_aSystems engineering.
650		0	_aNonlinear control theory.
700	1		_aDaoutidis, Prodromos, _eauthor.
776	0	8	_iPrint version: _z9780521191708
830		0	_aCambridge series in chemical engineering.
856	4	0	_uhttps://doi.org/10.1017/CBO9780511978760
999			_c517941 _d517939