Ding, Baocang creator aut Yang, Yuanqing aut text xxu Wiley 2024 |||| 1 monographic eng

electronic

electronic resource

access 304pp.; 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. specialized Baocang Ding, Yuanqing Yang Control Systems Technology Industrial Engineering / Quality Control Numerical Methods & Algorithms 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 9781119471455 https://doi.org/10.1002/9781119471455 https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119471455 https://onlinelibrary.wiley.com/cms/asset/1d0766bf-2969-46e8-bd3a-d7ca6767506e/9781119471455.cover.gif https://doi.org/10.1002/9781119471455 https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119471455 https://onlinelibrary.wiley.com/cms/asset/1d0766bf-2969-46e8-bd3a-d7ca6767506e/9781119471455.cover.gif 240318 20251030120307.0 10.1002/9781119471455