Nonlinear Model Predictive Control Towards New Challenging Applications

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.