Model Predictive ControlFundamentals and Practice\nAuthor(s): Jay H. Lee, Niket S. Kaisare, Carlos E. Garca\nFormat: Hardback\nPublisher: John Wiley & Sons Inc, United States\nImprint: John Wiley & Sons Inc\nISBN-13: 9781394333295, 978-1394333295\nSynopsis\nMaster advanced control methods bridging academic theory and industrial practice \n\nModel Predictive Control: Fundamentals and Practice walks engineers through the transition from academic study to industrial application of advanced process control. This comprehensive text connects current model predictive control (MPC) theory to its industrial origins and classical linear control methods, providing the foundations necessary for effective real-world application. \n\nThis books three-part structure guides readers from basic industrial algorithms through linear systems fundamentals to advanced MPC topics. It clarifies equivalences between MPC and Linear-Quadratic optimal control, and between Moving Horizon Estimation and Ka.