Accelerated gradient methods and dual decomposition in distributed model predictive control
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TLDR
The evaluation shows that the proposed distributed optimization algorithm for mixed L"1/L"2-norm optimization based on accelerated gradient methods using dual decomposition can outperform current state-of-the-art optimization software CPLEX and MOSEK.About:
This article is published in Automatica.The article was published on 2013-03-01 and is currently open access. It has received 265 citations till now. The article focuses on the topics: Optimization problem & Duality (optimization).read more
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Distributed control of chemical process networks
Michael James Tippett,Jie Bao +1 more
TL;DR: A review of the current literature on distributed (or partially decentralized) control of chemical process networks focuses on recent developments in distributed model predictive control, in the context of the specific challenges faced in the control ofchemical process networks.
Journal ArticleDOI
On the Use of Difference of Log-Sum-Exp Neural Networks to Solve Data-Driven Model Predictive Control Tracking Problems
Sven Brüggemann,Corrado Possieri +1 more
TL;DR: Difference of Log-Sum-Exp neural networks are employed to generate a data-driven feedback controller based on Model Predictive Control to track a given reference trajectory and it is shown that the system driven by the MPC-neural structure is practically stable.
Journal ArticleDOI
GA based decomposition of large scale distributed model predictive control systems
TL;DR: A novel method to find the optimal decomposition structure of distributed model predictive control systems is proposed, which can achieve efficient coordination and is more flexible than the traditional DMPC.
Proceedings ArticleDOI
A Parallel Decomposition Scheme for Solving Long-Horizon Optimal Control Problems
TL;DR: In this paper, a temporal decomposition scheme for solving long-horizon optimal control problems is proposed. But the authors do not provide a sufficient condition that guarantees convergence of the proposed scheme.
Journal ArticleDOI
Distributed Model Predictive Control of Iron Precipitation Process by Goethite Based on Dual Iterative Method
TL;DR: The application case shows that distributed model predictive control based on dual iteration algorithm can handle coupled control effectively and reduce the oxygen consumption.
References
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Book
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