Automation, Control and Robotics
Author: Jun Chen, Oakland University, USA
ISBN: 9788743813033 (Hardback) e-ISBN: 9788743813040
Available: December 2026
Optimize. Constrain. Control.
Model predictive control (MPC) has revolutionized modern engineering. This book offers a streamlined, accessible guide to MPC, specifically optimized for discrete-time systems.
We bridge the gap between complex mathematical theory and practical engineering reality. Through detailed explanations and real-world examples, you will learn to build robust algorithms that handle complex constraints with ease.
Key features:
Equip yourself with the expertise to tackle the most demanding control challenges in industry today.
I Preliminaries
1 Introduction to Control Systems
2 Linear Systems
3 Numerical Optimization
II Linear MPC
4 Linear Quadratic Regulator
5 Linear Model Predictive Control
III Nonlinear MPC
6 Nonlinear Model Predictive Control
7 State Estimation
Appendix Linear Algebra