03287nam a22003974u 4500 10.1002/9781119471455 Wiley 20251030120307.0 cr nn 008mam|a 240318t2024||||xxu fs| |0|| 0|eng|| 9781119471455 electronic 10.1002/9781119471455 doi eng Ding, Baocang aut 91513 Model Predictive Control [electronic resource] Baocang Ding, Yuanqing Yang 1 Wiley 2024 Wiley 2024 304pp.; text txt rdacontent computer c rdamedia online resource cr rdacarrier text file rdaft PDF Model 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. Control Systems Technology 91457 Industrial Engineering / Quality Control 91458 Numerical Methods & Algorithms 91514 Process 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 Yang, Yuanqing aut 91515 Printed edition: 9781119471394 https://doi.org/10.1002/9781119471455 Wiley Online Library https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119471455 Wiley Online Library Cover Image https://onlinelibrary.wiley.com/cms/asset/1d0766bf-2969-46e8-bd3a-d7ca6767506e/9781119471455.cover.gif Wiley Online Library 66982 66982