Introduction to Model Predictive Control for Discrete-time Dynamical Systems - Jun Chen

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:

Clarity first: Designed for students and experts alike.

Application-driven: Real-world problems, not just theoretical proofs.

Discrete-time focus: Tailored for modern digital implementation.

Equip yourself with the expertise to tackle the most demanding control challenges in industry today.