Assessment and Future Directions of Nonlinear Model Predictive Control

• Foundations and History of NMPC.- Nonlinear Model Predictive Control: An Introductory Review.- Theoretical Aspects of NMPC.- Hybrid MPC: Open-Minded but Not Easily Swayed.- Conditions for MPC Based Stabilization of Sampled-Data Nonlinear Systems Via Discrete-Time Approximations.- A Computationally Efficient Scheduled Model Predictive Control Algorithm for Control of a Class of Constrained Nonlinear Systems.- The Potential of Interpolation for Simplifying Predictive Control and Application to LPV Systems.- Techniques for Uniting Lyapunov-Based and Model Predictive Control.- Discrete-Time Non-smooth Nonlinear MPC: Stability and Robustness.- Model Predictive Control for Nonlinear Sampled-Data Systems.- Sampled-Data Model Predictive Control for Nonlinear Time-Varying Systems: Stability and Robustness.- On the Computation of Robust Control Invariant Sets for Piecewise Affine Systems.- Nonlinear Predictive Control of Irregularly Sampled Data Systems Using Identified Observers.- Nonlinear Model Predictive Control: A Passivity-Based Approach.- Numerical Aspects of NMPC.- Numerical Methods for Efficient and Fast Nonlinear Model Predictive Control.- Computational Aspects of Approximate Explicit Nonlinear Model Predictive Control.- Towards the Design of Parametric Model Predictive Controllers for Non-linear Constrained Systems.- Interior-Point Algorithms for Nonlinear Model Predictive Control.- Hard Constraints for Prioritized Objective Nonlinear MPC.- A Nonlinear Model Predictive Control Framework as Free Software: Outlook and Progress Report.- Robustness, Robust Design, and Uncertainty.- Robustness and Robust Design of MPC for Nonlinear Discrete-Time Systems.- MPC for Stochastic Systems.- NMPC for Complex Stochastic Systems Using a Markov Chain Monte Carlo Approach.- On Disturbance Attenuation of Nonlinear Moving Horizon Control.- Chance Constrained Nonlinear Model Predictive Control.- Close-Loop Stochastic Dynamic Optimization Under Probabilistic Output-Constraints.- Interval Arithmetic in Robust Nonlinear MPC.- Optimal Online Control of Dynamical Systems Under Uncertainty.- State Estimation and Output Feedback.- State Estimation Analysed as Inverse Problem.- Minimum-Distance Receding-Horizon State Estimation for Switching Discrete-Time Linear Systems.- New Extended Kaiman Filter Algorithms for Stochastic Differential Algebraic Equations.- Industrial Perspective on NMPC.- NLMPC: A Platform for Optimal Control of Feed- or Product-Flexible Manufacturing.- Experiences with Nonlinear MPC in Polymer Manufacturing.- Integration of Advanced Model Based Control with Industrial IT.- Putting Nonlinear Model Predictive Control into Use.- NMPC and Process Control.- Integration of Economical Optimization and Control for Intentionally Transient Process Operation.- Controlling Distributed Hyperbolic Plants with Adaptive Nonlinear Model Predictive Control.- A Minimum-Time Optimal Recharging Controller for High Pressure Gas Storage Systems.- Robust NMPC for a Benchmark Fed-Batch Reactor with Runaway Conditions.- Real-Time Implementation of Nonlinear Model Predictive Control of Batch Processes in an Industrial Framework.- Non-linear Model Predictive Control of the Hashimoto Simulated Moving Bed Process.- Receding-Horizon Estimation and Control of Ball Mill Circuits.- Hybrid NMPC Control of a Sugar House.- Application of the NEPSAC Nonlinear Predictive Control Strategy to a Semiconductor Reactor.- Integrating Fault Diagnosis with Nonlinear Model Predictive Control.- NMPC for Fast Systems.- A Low Dimensional Contractive NMPC Scheme for Nonlinear Systems Stabilization: Theoretical Framework and Numerical Investigation on Relatively Fast Systems.- A New Real-Time Method for Nonlinear Model Predictive Control.- A Two-Time-Scale Control Scheme for Fast Unconstrained Systems.- Novel Applications of NMPC.- Receding Horizon Control for Free-Flight Path Optimization.- An Experimental Study of Stabilizing Receding Horizon Control of Visual Feedback System with Planar Manipulators.- Coordination of Networked Dynamical Systems.- Distributed NMPC, Obstacle Avoidance, and Path Planning.- Distributed Model Predictive Control of Large-Scale Systems.- Distributed MPC for Dynamic Supply Chain Management.- Robust Model Predictive Control for Obstacle Avoidance: Discrete Time Case.- Trajectory Control of Multiple Aircraft: An NMPC Approach.

“It is a wide ranging text covering such areas as hybrid systems, constrained control, LPV systems, nonlinear discrete-time systems and many others. … This is a valuable contribution to the subject and is suitable for researchers and engineers involved in all aspects of nonlinear MPC design and implementation.” (ACTC applied control technology consortium, actc-control.com, March, 2016)