000			02956cam a2200373 i 4500
001			17289323
005			20150923140431.0
008			120508s2012 enk b 001 0 eng
010			_a 2012018949
020			_a9780521191708
040			_aDLC _beng _cDLC _erda _dDLC
041			_aeng
042			_apcc
050	0	0	_aTP155.75 _b.B35 2012
082	0	0	_a515/.724 _223
084			_aTEC009010 _2bisacsh
100	1		_aBaldea, Michael,
245	1	0	_aDynamics and nonlinear control of integrated process systems / _cMichael Baldea, TheUniversity of Texas at Austin, Prodromos Daoutidis, University of Minnesota.
260			_aCambridge : _bCambridge University Press, _c2012.
300			_axiii, 257 pages : _billustrations ; _c25 cm.
490	0		_aCambridge series in chemical engineering
504			_aIncludes bibliographical references (pages 246-255) and index.
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			_a"Presenting 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.
650		7	_aTECHNOLOGY & ENGINEERING / Chemical & Biochemical. _2bisacsh
700	1		_aDaoutidis, Prodromos, _eauthor.
856	4	2	_3Cover image _uhttp://assets.cambridge.org/97805211/91708/cover/9780521191708.jpg
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cLIBRO
955			_bpa20 2012-05-08 _cpa20 2012-05-08 ONIX to STM _axn05 2012-10-18 1 copy rec'd., to CIP ver.
999			_c1390