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Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request of modeling accuracy and robustness to complicated process plants, MPC has been widely accepted in many practical fields. As the guide for researchers and engineers all over the world concerned with the latest developments of MPC, the purpose of "Advanced Model Predictive Control" is to show the readers the recent achievements in this area. The first part of this exciting book will help you comprehend the frontiers in theoretical research of MPC, such as Fast MPC, Nonlinear MPC, Distributed MPC, Multi-Dimensional MPC and Fuzzy-Neural MPC. In the second part, several excellent applications of MPC in modern industry are proposed and efficient commercial software for MPC is introduced. Because of its special industrial origin, we believe that MPC will remain energetic in the future.

Predictive control. --- Model based predictive control --- Model predictive control --- Automatic control --- Automatic control engineering

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Model Predictive Control (MPC) usually refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance, but it is can also be seen as a term denoting a natural control strategy that matches the human thought form most closely. Half a century after its birth, it has been widely accepted in many engineering fields and has brought much benefit to us. The purpose of the book is to show the recent advancements of MPC to the readers, both in theory and in engineering. The idea was to offer guidance to researchers and engineers who are interested in the frontiers of MPC. The examples provided in the first part of this exciting collection will help you comprehend some typical boundaries in theoretical research of MPC. In the second part of the book, some excellent applications of MPC in modern engineering field are presented. With the rapid development of modeling and computational technology, we believe that MPC will remain as energetic in the future.

Predictive control. --- Model based predictive control --- Model predictive control --- Automatic control --- Automatic control engineering

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Predictive control. --- Model based predictive control --- Model predictive control --- Automatic control

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Predictive control. --- Model based predictive control --- Model predictive control --- Automatic control

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This work combines the current trends in automotive industries (E-mobility, autonomous driving and connected car) in a new design of a driver assistance system for Hybrid Electric Vehicles that overtakes the speed control as well as the control of the energy management.

Energiemanagement --- model predictive control --- driver assistance --- energy management systems --- Modellbasierte Prädiktive Regelunghybrid vehicles --- Optimale Regelung --- optimal control --- Fahrerassistenzsysteme --- Hybridfahrzeuge