Advanced model predictive control / monograph

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. Preface_Advanced Model Predictive Control......Page 1 Part 1......Page 13 01_Fast Model Predictive Control and its Application to Energy Management of Hybrid Electric Vehicles......Page 15 02_Fast Nonlinear Model Predictive Control using Second Order Volterra Models Based Multi-agent Approach......Page 41 03_Improved Nonlinear Model Predictive Control Based on Genetic Algorithm......Page 61 04_Distributed Model Predictive Control Based on Dynamic Games......Page 77 05_Efficient Nonlinear Model Predictive Control for Affine System......Page 103 06_Implementation of Multi-dimensional Model Predictive Control for Critical Process with Stochastic Behavior......Page 121 07_Fuzzy–neural Model Predictive Control of Multivariable Processes......Page 137 08_Using Subsets Sequence to Approach the Maximal Terminal Region for MPC......Page 163 09_Model Predictive Control for Block-oriented Nonlinear Systems with Input Constraints......Page 175 10_A General Lattice Representation for Explicit Model Predictive Control......Page 209 Part 2 ......Page 235 11_Model Predictive Control Strategies for Batch Sugar Crystallization Process......Page 237 12_Predictive Control for Active Model and its Applications on Unmanned Helicopters......Page 257 13_Nonlinear Autoregressive with Exogenous Inputs Based Model Predictive Control for Batch Citronellyl Laurate Esterification Reactor......Page 279 14_Using Model Predictive Control for Local Navigation of Mobile Robots......Page 303 15_Model Predictive Control and Optimization for Papermaking Processes......Page 321 16_Gust Alleviation Control Using Robust MPC ......Page 355 17_MBPC – Theoretical Development for Measurable Disturbances and Practical Example of Air-path in a Diesel Engine......Page 381 18_BrainWave®: Model Predictive Control for the Process Industries......Page 405