{"product_id":"9781119471394","title":"Model Predictive Control","description":"\u003ch3\u003eIEEE Press\u003c\/h3\u003e\u003ch1\u003eModel Predictive Control\u003c\/h1\u003e\u003ch3\u003eBaocang Ding | Yuanqing Yang\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eScience \/ System Theory\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cb\u003eModel Predictive Control\u003c\/b\u003e \u003cp\u003e \u003cb\u003eUnderstand the practical side of controlling industrial processes\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eModel 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. \u003c\/p\u003e\n\u003cp\u003eAssuming 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. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eModel Predictive Control \u003c\/i\u003ereaders will also find:  \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eTwo-part organization to balance theory and applications \u003c\/li\u003e\n\u003cli\u003eSelection of topics directly driven by industrial demand \u003c\/li\u003e\n\u003cli\u003eAn author with decades of experience in both teaching and industrial practice\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eThis 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.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eBaocang Ding, PhD, \u003c\/b\u003e teaches MPC to both undergraduate and graduate students in the School of Automation, Chongqing University of Posts and Telecommunications, China. His research interests include model predictive control, control of power network, process control, and control software development. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eYuanqing Yang, PhD, \u003c\/b\u003e teaches MPC to both undergraduate and graduate students in the School of Automation, Chongqing University of Posts and Telecommunications, China. His research interests include model predictive control, fuzzy control, networked control, and distributed control systems. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e01 April 2024\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-IEEE Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781119471394\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e304\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e24.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44311369547916,"sku":"9781119471394","price":131.35,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781119471394_3ceae8d3-1a5d-4f7b-828a-388ee14792b4.jpg?v=1780139944","url":"https:\/\/lateknightbooks.com\/products\/9781119471394","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}