"Model Predictive Control" ed. by Constantin Volosencu

The book presents some recent specialized theoretical and practical works in the field of process control based on the model predictive control (MPC) method. It includes seven chapters that present studies on the application of MPC in various technical processes, such as the atmospheric plasma spray process, permanent magnet synchronous motors, monitoring of the pose of a walking person, monitoring of the heat treatment process of raw materials, discrete event processes, control of passenger vehicles, and natural gas sweetening processes.

Chapters include examples and case studies from researchers in the field. This volume provides readers with new solutions and answers to questions related to the emerging applications of MPC and their implementation.

Contents
1. Modified Robust Adaptive Process Control with Improved Transient Performance and Its Application to Atmospheric Plasma Spray Process
2. Position Control of External Rotor Permanent Magnet Synchronous Motor with Model Predictive Control
3. Stereo-Measurement of 3D Poses of a Walking Person with a Puppet Model and Low-Rank Filter
4. Model Predictive Control of Multi-Variable Non-Linear System Using Multi-Agent Q-Learning
5. Closed Loop Control Approaches for Conflicted Timed Event Graphs Subject to Constraints with Dioid Algebra
6. Review of Model Predictive Control and Other Methodologies for Lateral Control of an Autonomous Vehicle
7. Implementation of MPC Strategy in Reactive Separation Techniques and Its Benefits: A Demonstration with Natural Gas Sweetening Process


More : You find here