Cross-directional control of sheet and film processes
Sheet and film processes include polymer film extrusion, coating processes of many types,
paper manufacturing, sheet metal rolling, and plate glass manufacture. Identification …
paper manufacturing, sheet metal rolling, and plate glass manufacture. Identification …
Nash-optimization enhanced distributed model predictive control applied to the Shell benchmark problem
This paper presents an efficient distributed model predictive control scheme based on Nash
optimality, in which the on-line optimization of the whole system is decomposed into that of …
optimality, in which the on-line optimization of the whole system is decomposed into that of …
Efficient deep learning of robust policies from mpc using imitation and tube-guided data augmentation
Imitation learning (IL) can generate computationally efficient policies from demonstrations
provided by model predictive control (MPC). However, IL methods often require extensive …
provided by model predictive control (MPC). However, IL methods often require extensive …
Quadratic programming algorithms for large-scale model predictive control
RA Bartlett, LT Biegler, J Backstrom, V Gopal - Journal of Process Control, 2002 - Elsevier
Quadratic programming (QP) methods are an important element in the application of model
predictive control (MPC). As larger and more challenging MPC applications are considered …
predictive control (MPC). As larger and more challenging MPC applications are considered …
Distributed model predictive control of large-scale systems
Completely centralized control of large, networked systems is impractical. Completely
decentralized control of such systems, on the other hand, frequently results in unacceptable …
decentralized control of such systems, on the other hand, frequently results in unacceptable …
Distributed model predictive control for large-scale systems
X Du, Y **, S Li - Proceedings of the 2001 American Control …, 2001 - ieeexplore.ieee.org
This paper presents a novel distributed model predictive control algorithm based on Nash
optimality, in which the online optimization of the whole system is decomposed into that of …
optimality, in which the online optimization of the whole system is decomposed into that of …
Model predictive control for stochastic systems by randomized algorithms
I Batina - 2004 - research.tue.nl
The main topic of this thesis is control of dynamic systems that are subject to stochastic
disturbances and constraints on the input and the state. The main motivation for dealing with …
disturbances and constraints on the input and the state. The main motivation for dealing with …
[BOOK][B] Identification and control of sheet and film processes
AP Featherstone, JG VanAntwerp, RD Braatz - 2012 - books.google.com
Sheet and film processes include coating, papermaking, metal rolling, and polymer film
extrusion. Products produced by these processes include paper, bumper stickers, plastic …
extrusion. Products produced by these processes include paper, bumper stickers, plastic …
Game approach to distributed model predictive control
L Giovanini - IET control theory & applications, 2011 - IET
This study introduces a framework for distributed model predictive control (MPC) based on
dynamic games, where centralised and decentralised control algorithms can be viewed as …
dynamic games, where centralised and decentralised control algorithms can be viewed as …
Structured neural networks for constrained model predictive control
High computational demand in solving the optimization problems associated with the model
predictive control (MPC) schemes is a major obstacle when applying the methods to large …
predictive control (MPC) schemes is a major obstacle when applying the methods to large …