Over the past few years significant progress has been achieved in the field of nonlinear model predictive control (NMPC), also referred to as receding horizon control or moving horizon control. More than 250 papers have been published in 2006 in ISI Journals. With this book we want to bring together the contributions of a diverse group of internationally well recognized researchers and industrial practitioners, to critically assess the current status of the NMPC field and to discuss future directions and needs. The book consists of selected papers presented at the International Workshop on Assessment an Future Directions of Nonlinear Model Predictive Control that took place from September 5 to 9, 2008, in Pavia, Italy.
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.
