000			03287nam a22003974u 4500
001			10.1002/9781119471455
003			Wiley
005			20251030120307.0
007			cr nn 008mam|a
008			240318t2024||||xxu fs| |0|| 0|eng||
020			_a9781119471455 _qelectronic
024	7		_a10.1002/9781119471455 _2doi
041			_aeng
100	1		_aDing, Baocang _4aut _991513
245	1	0	_aModel Predictive Control _h[electronic resource] _cBaocang Ding, Yuanqing Yang
250			_a1
260			_bWiley _c2024
264		1	_bWiley _c2024
300			_a304pp.;
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _2rdaft
347			_bPDF
520			_aModel Predictive Control Understand the practical side of controlling industrial processes Model Predictive Control (MPC) is a method for controlling a process according to given parameters, derived in many cases from empirical models. It has been widely applied in industrial units to increase revenue and promoting sustainability. Systematic overviews of this subject, however, are rare, and few draw on direct experience in industrial settings. Assuming basic knowledge of the relevant mathematical and algebraic modeling techniques, the book's title combines foundational theories of MPC with a thorough sense of its practical applications in an industrial context. The result is a presentation uniquely suited to rapid incorporation in an industrial workplace. Model Predictive Control readers will also find: Two-part organization to balance theory and applications Selection of topics directly driven by industrial demand An author with decades of experience in both teaching and industrial practice This book is ideal for industrial control engineers and researchers looking to understand MPC technology, as well as advanced undergraduate and graduate students studying predictive control and related subjects.
650		4	_aControl Systems Technology _991457
650		4	_aIndustrial Engineering / Quality Control _991458
650		4	_aNumerical Methods & Algorithms _991514
653	0	0	_aProcess control; model predictive control; Kalman filter; dynamic matrix control; generalized predictive control; hierarchical control; steady-state target calculation; open-loop prediction; economic optimization; linear programming; quadratic programming; multiple priority-rank optimization; multivariable control system; offset-free control; finite step response; finite impulse response; robust control; output feedback control; two-step control; closed-loop stability; fuzzy control; networked control; linear empirical modeling; industrial processes; linear parameter varying model; quadratic boundedness; norm-bounding technique; convex programming
700	1		_aYang, Yuanqing _4aut _991515
776	0	8	_iPrinted edition: _z9781119471394
856	4	0	_uhttps://doi.org/10.1002/9781119471455 _aWiley Online Library
856	4	0	_uhttps://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119471455 _aWiley Online Library
856	4	2	_3Cover Image _uhttps://onlinelibrary.wiley.com/cms/asset/1d0766bf-2969-46e8-bd3a-d7ca6767506e/9781119471455.cover.gif _aWiley Online Library
999			_c66982 _d66982