Carlos E. García – författare

Master advanced control methods bridging academic theory and industrial practice Model 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. This book’s 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 Kalman filtering. It also includes practical coverage of system identification. The book balances up-to-date theory with hands-on applications and maintains accessibility without sacrificing mathematical rigor. Readers will learn to: Effectively transition theoretical knowledge into practical control applications for complex processesUnderstand connections between MPC and classical optimal control methods through clear detailed explanationsMaster system identification techniques essential for developing accurate process modelsExplore nonlinear MPC and the innovative Repetitive MPC for advanced real-world control challengesApply concepts through curated sample problems designed to enhance practical understanding and implementation skillsThis is an ideal graduate-level textbook and essential reference for practicing engineers seeking to master advanced control strategies. It balances authoritative theoretical explanation with practical application, preparing readers to solve real-world control problems.

The Second Shell Process Control Workshop covers the proceedings of a workshop of the same name, held in Houston, Texas on December 12-16, 1988. The said workshop seeks to improve the communication process between academic researchers, industrial researchers, and the engineering community in the field of process control, and in turn improve understanding of the nature of the control problems. The book covers topics such as automatic tuning and adaptive control; an operator control theory approach to the shell standard control problem; discrete time-adaptive predictive control; and the designing of a control system. Also included are topics such as optimal control and model identification; fundamental process control; statistical process control; and interfaces with process control. The text is recommended for researchers and practitioners in the field of engineering who would like to know more about process control and modeling.