[PDF][PDF] Nonlinear model predictive control: From theory to application
Abstract─ While linear model predictive control is popular since the 70s of the past century,
only since the 90s there is a steadily increasing interest from control theoreticians as well as …
only since the 90s there is a steadily increasing interest from control theoreticians as well as …
State and output feedback nonlinear model predictive control: An overview
The purpose of this paper is twofold. In the first part, we give a review on the current state of
nonlinear model predictive control (NMPC). After a brief presentation of the basic principle of …
nonlinear model predictive control (NMPC). After a brief presentation of the basic principle of …
Nominal stability of real-time iteration scheme for nonlinear model predictive control
A Newton-type method is investigated for online optimisation in nonlinear model predictive
control, the so-called real-time iteration scheme. Only one Newton-type iteration is …
control, the so-called real-time iteration scheme. Only one Newton-type iteration is …
Computational delay in nonlinear model predictive control
R Findeisen, F Allgöwer - IFAC Proceedings Volumes, 2004 - Elsevier
By now a series of NMPC schemes exist that lead to guaranteed stability of the closed-loop.
However, in these schemes the computation time to find a solution of the open-loop optimal …
However, in these schemes the computation time to find a solution of the open-loop optimal …
Nonlinear model predictive control via feasibility-perturbed sequential quadratic programming
MJ Tenny, SJ Wright, JB Rawlings - Computational Optimization and …, 2004 - Springer
Abstract Model predictive control requires the solution of a sequence of continuous
optimization problems that are nonlinear if a nonlinear model is used for the plant. We …
optimization problems that are nonlinear if a nonlinear model is used for the plant. We …
Efficient moving horizon estimation and nonlinear model predictive control
MJ Tenny, JB Rawlings - Proceedings of the 2002 American …, 2002 - ieeexplore.ieee.org
State estimation from plant measurements should play an essential role in any advanced
process control technology. Unlike the model predictive control (MPC) regulator, however …
process control technology. Unlike the model predictive control (MPC) regulator, however …
Nonlinear model predictive control: a sampled data feedback perspective
R Findeisen - 2005 - elib.uni-stuttgart.de
Im Rahmen dieser Arbeit werden Antworten und Lösungen zu einigen offenen Fragen und
Probleme im Bereich der nichtlinearen prädiktiven Regelung gegeben. Unter anderem …
Probleme im Bereich der nichtlinearen prädiktiven Regelung gegeben. Unter anderem …
An efficient algorithm for nonlinear model predictive control of large-scale systems part I: Description of the method (Ein effizienter Algorithmus für die nichtlineare …
M Diehl, R Findeisen, S Schwarzkopf, I Uslu… - 2002 - degruyter.com
Die vorliegende Arbeit besteht aus zwei Teilen: Im ersten Teil wird ein effizienter
Algorithmus für die Echtzeit-Optimierung in der nichtlinearen prädiktiven Regelung (NMPC) …
Algorithmus für die Echtzeit-Optimierung in der nichtlinearen prädiktiven Regelung (NMPC) …
A stabilizing real-time implementation of nonlinear model predictive control
2.1 Introduction Nonlinear model predictive control (NMPC) is a feedback control technique
based on the real-time solution of optimal control problems. It has attracted significant …
based on the real-time solution of optimal control problems. It has attracted significant …
Closed‐loop behavior of nonlinear model predictive control
MJ Tenny, JB Rawlings, SJ Wright - AIChE Journal, 2004 - Wiley Online Library
Abstract Model predictive control (MPC) relies on real‐time optimization to determine open‐
loop control profiles and state estimates given process measurements. When the underlying …
loop control profiles and state estimates given process measurements. When the underlying …