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Introduction to Model Predictive Control for Discrete-time Dynamical Systems
Introduction to Model Predictive Control for Discrete-time Dynamical Systems
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227,11 €
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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 alik…
  • Leidėjas:
  • Metai: 2026
  • Puslapiai: 210
  • ISBN-10: 8743813038
  • ISBN-13: 9788743813033
  • Kalba: Anglų

Introduction to Model Predictive Control for Discrete-time Dynamical Systems (el. knyga) (skaityta knyga) | knygos.lt

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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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  • Autorius: Jun Chen
  • Leidėjas:
  • Metai: 2026
  • Puslapiai: 210
  • ISBN-10: 8743813038
  • ISBN-13: 9788743813033
  • Kalba: Anglų

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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