Nonlinear Model Predictive Control

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 PredictiveControl 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