Advanced Model Predictive Control

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 o...

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.

Order Print Copy Recommend to Your Library

Your name

Your email address

Your Library’s email address

Department

Institution/Company

Loading...

Country

Loading...

Message of recommendation Dear Librarian, I would like to recommend the following IntechOpen book to be added to our library catalog: TITLE: 'Advanced Model Predictive Control' PRINT ISBN: 978-953-307-298-2 Libraries are offered a 20% discount on retail book prices. For a quote, please contact the IntechOpen Print Sales Department directly at orders@intechopen.com Best regards.

I recommend this publication for the following reasons

Loading...

By submitting the form you agree to IntechOpen using your personal information in order to fulfil your library recommendation. In line with our privacy policy we won’t share your details with any third parties and will discard any personal information provided immediately after the recommended institution details are received. For further information on how we protect and process your personal information, please refer to our privacy policy.

Submit