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Introduction to Model Predictive Control for Discrete-time Dynamical Systems

Introduction to Model Predictive Control for Discrete-time Dynamical Systems

Par Jun Chen

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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.

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