Handbook of Model Predictive Control

Table of Contents

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   Book Overview
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   Chapter 1 The Essentials of Model Predictive Control
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   Chapter 2 Dynamic Programming, Optimal Control and Model Predictive Control
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   Chapter 3 Set-Valued and Lyapunov Methods for MPC
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   Chapter 4 Stochastic Model Predictive Control
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   Chapter 5 Moving Horizon Estimation
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   Chapter 6 Probing and Duality in Stochastic Model Predictive Control
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   Chapter 7 Economic Model Predictive Control: Some Design Tools and Analysis Techniques
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   Chapter 8 Nonlinear Predictive Control for Trajectory Tracking and Path Following: An Introduction and Perspective
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    Chapter 9 Hybrid Model Predictive Control
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    Chapter 10 Model Predictive Control of Polynomial Systems
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    Chapter 11 Distributed MPC for Large-Scale Systems
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    Chapter 12 Scalable MPC Design
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    Chapter 13 Efficient Convex Optimization for Linear MPC
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    Chapter 14 Implicit Non-convex Model Predictive Control
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    Chapter 15 Convexification and Real-Time Optimization for MPC with Aerospace Applications
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    Chapter 16 Explicit (Offline) Optimization for MPC
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    Chapter 17 Real-Time Implementation of Explicit Model Predictive Control
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    Chapter 18 Robust Optimization for MPC
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    Chapter 19 Scenario Optimization for MPC
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    Chapter 20 Nonlinear Programming Formulations for Nonlinear and Economic Model Predictive Control
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    Chapter 21 Automotive Applications of Model Predictive Control
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    Chapter 22 Applications of MPC in the Area of Health Care
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    Chapter 23 Model Predictive Control for Power Electronics Applications
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    Chapter 24 Learning-Based Fast Nonlinear Model Predictive Control for Custom-Made 3D Printed Ground and Aerial Robots
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    Chapter 25 Applications of MPC to Building HVAC Systems
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    Chapter 26 Toward Multi-Layered MPC for Complex Electric Energy Systems
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    Chapter 27 Applications of MPC to Finance