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Nonlinear Model Predictive Control

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Cover of 'Nonlinear Model Predictive Control'

Table of Contents

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    Book Overview
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    Chapter 1 Input-to-State Stability: A Unifying Framework for Robust Model Predictive Control
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    Chapter 2 Self-optimizing Robust Nonlinear Model Predictive Control
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    Chapter 3 Set Theoretic Methods in Model Predictive Control
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    Chapter 4 Adaptive Robust MPC: A Minimally-Conservative Approach
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    Chapter 5 Enlarging the Terminal Region of NMPC with Parameter-Dependent Terminal Control Law
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    Chapter 6 Model Predictive Control with Control Lyapunov Function Support
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    Chapter 7 Further Results on “Robust MPC Using Linear Matrix Inequalities”
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    Chapter 8 LMI-Based Model Predictive Control for Linear Discrete-Time Periodic Systems
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    Chapter 9 Receding Horizon Control for Linear Periodic Time-Varying Systems Subject to Input Constraints
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    Chapter 10 Optimizing Process Economic Performance Using Model Predictive Control
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    Chapter 11 Hierarchical Model Predictive Control of Wiener Models
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    Chapter 12 Multiple Model Predictive Control of Nonlinear Systems
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    Chapter 13 Stabilizing Nonlinear Predictive Control over Nondeterministic Communication Networks
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    Chapter 14 Distributed Model Predictive Control System Design Using Lyapunov Techniques
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    Chapter 15 Stabilization of Networked Control Systems by Nonlinear Model Predictive Control: A Set Invariance Approach
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    Chapter 16 Nonlinear Model Predictive Control for Resource Allocation in the Management of Intermodal Container Terminals
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    Chapter 17 Nonlinear Model Predictive Control
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    Chapter 18 On Polytopic Approximations of Systems with Time-Varying Input Delays
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    Chapter 19 Nonlinear Model Predictive Control
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    Chapter 20 Successive Linearization NMPC for a Class of Stochastic Nonlinear Systems
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    Chapter 21 Sequential Monte Carlo for Model Predictive Control
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    Chapter 22 An NMPC Approach to Avoid Weakly Observable Trajectories
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    Chapter 23 State Estimation and Fault Tolerant Nonlinear Predictive Control of an Autonomous Hybrid System Using Unscented Kalman Filter
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    Chapter 24 Design of a Robust Nonlinear Receding-Horizon Observer - First-Order and Second-Order Approximations
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    Chapter 25 State Estimation in Nonlinear Model Predictive Control, Unscented Kalman Filter Advantages
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    Chapter 26 MPC for Tracking of Constrained Nonlinear Systems
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    Chapter 27 A Flatness-Based Iterative Method for Reference Trajectory Generation in Constrained NMPC
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    Chapter 28 Nonlinear Model Predictive Path-Following Control
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    Chapter 29 A Survey on Explicit Model Predictive Control
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    Chapter 30 Explicit Approximate Model Predictive Control of Constrained Nonlinear Systems with Quantized Input
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    Chapter 31 Parametric Approach to Nonlinear Model Predictive Control
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    Chapter 32 Efficient Numerical Methods for Nonlinear MPC and Moving Horizon Estimation
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    Chapter 33 Nonlinear Programming Strategies for State Estimation and Model Predictive Control
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    Chapter 34 A Framework for Monitoring Control Updating Period in Real-Time NMPC Schemes
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    Chapter 35 Practical Issues in Nonlinear Model Predictive Control: Real-Time Optimization and Systematic Tuning
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    Chapter 36 Fast Nonlinear Model Predictive Control via Set Membership Approximation: An Overview
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    Chapter 37 Fast Nonlinear Model Predictive Control with an Application in Automotive Engineering
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    Chapter 38 Unconstrained NMPC Based on a Class of Wiener Models: A Closed Form Solution
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    Chapter 39 An Off-Line MPC Strategy for Nonlinear Systems Based on SOS Programming
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    Chapter 40 NMPC for Propofol Drug Dosing during Anesthesia Induction
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    Chapter 41 Spacecraft Rate Damping with Predictive Control Using Magnetic Actuators Only
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    Chapter 42 Nonlinear Model Predictive Control of a Water Distribution Canal Pool
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    Chapter 43 Nonlinear Model Predictive Control
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    Chapter 44 An Application of Receding-Horizon Neural Control in Humanoid Robotics
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    Chapter 45 Particle Swarm Optimization Based NMPC: An Application to District Heating Networks
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    Chapter 46 Explicit Receding Horizon Control of Automobiles with Continuously Variable Transmissions
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Title
Nonlinear Model Predictive Control
Published by
Springer, Berlin, Heidelberg, January 2009
DOI 10.1007/978-3-642-01094-1
ISBNs
978-3-64-201093-4, 978-3-64-201094-1
Authors

Lalo Magni, Davide Martino Raimondo, Frank Allgöwer

Editors

Lalo Magni, Davide Martino Raimondo, Frank Allgöwer

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 43%
Student > Bachelor 2 29%
Researcher 1 14%
Unknown 1 14%
Readers by discipline Count As %
Engineering 5 71%
Chemical Engineering 1 14%
Unknown 1 14%