| 1 |
Distributed model predictive control using optimality condition decomposition and community detection
Segovia P, Puig V, Duviella E, Etienne L
Journal of Process Control, 99, 54, 2021 |
| 2 |
Decomposition of integrated scheduling and dynamic optimization problems using community detection
Mitrai I, Daoutidis P
Journal of Process Control, 90, 63, 2020 |
| 3 |
Data-driven classification of residential energy consumption patterns by means of functional connectivity networks
Markovic R, Gosak M, Grubelnik V, Marhl M, Virtic P
Applied Energy, 242, 506, 2019 |
| 4 |
Distributed control architecture synthesis for integrated process networks through maximization of strength of input-output impact
Jogwar SS
Journal of Process Control, 83, 77, 2019 |
| 5 |
Distributed control architecture synthesis for integrated process networks through maximization of strength of input-output impact
Jogwar SS
Journal of Process Control, 83, 77, 2019 |
| 6 |
Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection
Tang WT, Allman A, Pourkargar DB, Daoutidis P
Computers & Chemical Engineering, 111, 43, 2018 |
| 7 |
Decomposing complex plants for distributed control: Perspectives from network theory
Daoutidis P, Tang WT, Jogwar SS
Computers & Chemical Engineering, 114, 43, 2018 |
| 8 |
Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection (Reprinted from Computers and Chemical Engineering, vol 111, pg 43-54, 2018)
Tang WT, Allman A, Pourkargar DB, Daoutidis P
Computers & Chemical Engineering, 116, 144, 2018 |
| 9 |
Control-Relevant Decomposition of Process Networks via Optimization-Based Hierarchical Clustering
Heo S, Daoutidis P
AIChE Journal, 62(9), 3177, 2016 |
| 10 |
Automated structure detection for distributed process optimization
del Rio-Chanona EA, Fiorelli F, Vassiliadis VS
Computers & Chemical Engineering, 89, 135, 2016 |
