Assessment and Future Directions of Nonlinear Model Predictive Control
Thepastthree decadeshaveseenrapiddevelopmentin the areaofmodelpred- tive control with respect to both theoretical and application aspects. Over these 30 years, model predictive control for linear systems has been widely applied, especially in the area of process control. However, today s application...
Gorde:
| Egile nagusia: | |
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| Beste egile batzuk: | , |
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edizioa: | 1st ed. 2007. |
| Saila: | Lecture Notes in Control and Information Sciences
358 |
| Gaiak: | |
| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Assessment and future directions of nonlinear model predictive control, Freudenstadt-Lauterbad, Germany, August 26-30, 2005, Rolf Findeisen, Frank Allgöwer, Lorenz T. Biegler (eds.), Berlin, Springer, 2007, 1 vol. (XII-639 p.), Lecture notes in control and information sciences, 978-3-540-72698-2 |
Aurkibidea:
- 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