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Handbook of Model Predictive Control

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Cover of '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
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3 X users
5 patents
1 Facebook page


110 Dimensions

Readers on

181 Mendeley
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Handbook of Model Predictive Control
Published by
Birkhäuser Basel, January 2019
DOI 10.1007/978-3-319-77489-3
978-3-31-977489-3, 978-3-31-977488-6

Saša V. Raković, William Levine

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 181 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 24%
Student > Master 40 22%
Researcher 14 8%
Student > Doctoral Student 11 6%
Student > Bachelor 5 3%
Other 19 10%
Unknown 49 27%
Readers by discipline Count As %
Engineering 96 53%
Energy 8 4%
Computer Science 6 3%
Chemical Engineering 4 2%
Mathematics 2 1%
Other 8 4%
Unknown 57 31%