Nonlinear Model Predictive Control Towards New Challenging Applications /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Magni, Lalo. (Editor), Raimondo, Davide Martino. (Editor), Allgöwer, Frank. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edition:1st ed. 2009.
Series:Lecture Notes in Control and Information Sciences, 384
Subjects:
Online Access:https://doi.org/10.1007/978-3-642-01094-1
Table of Contents:
  • Stability and Robusteness
  • Input-to-State Stability: A Unifying Framework for Robust Model Predictive Control
  • Self-optimizing Robust Nonlinear Model Predictive Control
  • Set Theoretic Methods in Model Predictive Control
  • Adaptive Robust MPC: A Minimally-Conservative Approach
  • Enlarging the Terminal Region of NMPC with Parameter-Dependent Terminal Control Law
  • Model Predictive Control with Control Lyapunov Function Support
  • Further Results on "Robust MPC Using Linear Matrix Inequalities"
  • LMI-Based Model Predictive Control for Linear Discrete-Time Periodic Systems
  • Receding Horizon Control for Linear Periodic Time-Varying Systems Subject to Input Constraints
  • Control of Complex Systems
  • Optimizing Process Economic Performance Using Model Predictive Control
  • Hierarchical Model Predictive Control of Wiener Models
  • Multiple Model Predictive Control of Nonlinear Systems
  • Stabilizing Nonlinear Predictive Control over Nondeterministic Communication Networks
  • Distributed Model Predictive Control System Design Using Lyapunov Techniques
  • Stabilization of Networked Control Systems by Nonlinear Model Predictive Control: A Set Invariance Approach
  • Nonlinear Model Predictive Control for Resource Allocation in the Management of Intermodal Container Terminals
  • Predictive Power Control of Wireless Sensor Networks for Closed Loop Control
  • On Polytopic Approximations of Systems with Time-Varying Input Delays
  • Stochastic Systems
  • A Vector Quantization Approach to Scenario Generation for Stochastic NMPC
  • Successive Linearization NMPC for a Class of Stochastic Nonlinear Systems
  • Sequential Monte Carlo for Model Predictive Control
  • State Estimation
  • An NMPC Approach to Avoid Weakly Observable Trajectories
  • State Estimation and Fault Tolerant Nonlinear Predictive Control of an Autonomous Hybrid System Using Unscented Kalman Filter
  • Design of a Robust Nonlinear Receding-Horizon Observer - First-Order and Second-Order Approximations
  • State Estimation in Nonlinear Model Predictive Control, Unscented Kalman Filter Advantages
  • Tracking
  • MPC for Tracking of Constrained Nonlinear Systems
  • A Flatness-Based Iterative Method for Reference Trajectory Generation in Constrained NMPC
  • Nonlinear Model Predictive Path-Following Control
  • Algorithms for Explicit Solution
  • A Survey on Explicit Model Predictive Control
  • Explicit Approximate Model Predictive Control of Constrained Nonlinear Systems with Quantized Input
  • Parametric Approach to Nonlinear Model Predictive Control
  • Algorithms for Numerical Solution
  • Efficient Numerical Methods for Nonlinear MPC and Moving Horizon Estimation
  • Nonlinear Programming Strategies for State Estimation and Model Predictive Control
  • A Framework for Monitoring Control Updating Period in Real-Time NMPC Schemes
  • Practical Issues in Nonlinear Model Predictive Control: Real-Time Optimization and Systematic Tuning
  • Fast Nonlinear Model Predictive Control via Set Membership Approximation: An Overview
  • Fast Nonlinear Model Predictive Control with an Application in Automotive Engineering
  • Unconstrained NMPC Based on a Class of Wiener Models: A Closed Form Solution
  • An Off-Line MPC Strategy for Nonlinear Systems Based on SOS Programming
  • Applications
  • NMPC for Propofol Drug Dosing during Anesthesia Induction
  • Spacecraft Rate Damping with Predictive Control Using Magnetic Actuators Only
  • Nonlinear Model Predictive Control of a Water Distribution Canal Pool
  • Swelling Constrained Control of an Industrial Batch Reactor Using a Dedicated NMPC Environment: OptCon
  • An Application of Receding-Horizon Neural Control in Humanoid Robotics
  • Particle Swarm Optimization Based NMPC: An Application to District Heating Networks
  • Explicit Receding Horizon Control of Automobiles with Continuously Variable Transmissions.