Artiklar med krav på offentlig åtkomst - Prodromos DaoutidisLäs mer
Inte tillgängliga någonstans: 28
Sustainability and process control: A survey and perspective
P Daoutidis, M Zachar, SS Jogwar
Journal of Process Control 44, 184-206, 2016
Krav: US National Science Foundation, Department of Science & Technology, India
Exploring the benefits of modular renewable-powered ammonia production: A supply chain optimization study
MJ Palys, A Allman, P Daoutidis
Industrial & Engineering Chemistry Research 58 (15), 5898-5908, 2018
Krav: US Department of Energy
Network decomposition for distributed control through community detection in input–output bipartite graphs
W Tang, P Daoutidis
Journal of Process Control 64, 7-14, 2018
Krav: US National Science Foundation
Control configuration synthesis using agglomerative hierarchical clustering: A graph-theoretic approach
L Kang, W Tang, Y Liu, P Daoutidis
Journal of Process Control 46, 43-54, 2016
Krav: US National Science Foundation
Harnessing the wind power of the ocean with green offshore ammonia
H Wang, P Daoutidis, Q Zhang
ACS Sustainable Chemistry & Engineering 9 (43), 14605-14617, 2021
Krav: US Department of Energy
DeCODe: a community-based algorithm for generating high-quality decompositions of optimization problems
A Allman, W Tang, P Daoutidis
Optimization and Engineering 20, 1067-1084, 2019
Krav: US National Science Foundation
Distributed nonlinear model predictive control through accelerated parallel ADMM
W Tang, P Daoutidis
2019 American Control Conference (ACC), 1406-1411, 2019
Krav: US National Science Foundation
Scheduling and supervisory control for cost effective load shaping of microgrids with flexible demands
M Zachar, P Daoutidis
Journal of Process Control 74, 202-214, 2019
Krav: US National Science Foundation
System decomposition for distributed multivariate statistical process monitoring by performance driven agglomerative clustering
S Khatib, P Daoutidis, A Almansoori
Industrial & Engineering Chemistry Research 57 (24), 8283-8298, 2018
Krav: US National Science Foundation
Towards a generic algorithm for identifying high-quality decompositions of optimization problems
A Allman, W Tang, P Daoutidis
Computer aided chemical engineering 44, 943-948, 2018
Krav: US National Science Foundation
Nonlinear economic model predictive control for microgrid dispatch
M Zachar, P Daoutidis
IFAC-PapersOnLine 49 (18), 778-783, 2016
Krav: US National Science Foundation
Reduction of complex energy-integrated process networks using graph theory
SS Jogwar, S Rangarajan, P Daoutidis
Computers & Chemical Engineering 79, 46-58, 2015
Krav: Department of Science & Technology, India
The role of community structures in sparse feedback control
W Tang, P Daoutidis
2018 Annual American Control Conference (ACC), 1790-1795, 2018
Krav: US National Science Foundation
Optimal feature selection for distributed data-driven process monitoring
S Khatib, P Daoutidis
Industrial & Engineering Chemistry Research 59 (6), 2307-2317, 2019
Krav: US National Science Foundation
Input-output data-driven control through dissipativity learning
W Tang, P Daoutidis
2019 American Control Conference (ACC), 4217-4222, 2019
Krav: US National Science Foundation
A control perspective on the evolution of biological modularity
PH Constantino, P Daoutidis
IFAC-PapersOnLine 52 (11), 172-177, 2019
Krav: US National Science Foundation
Advanced Control Strategies for IGCC Plants with Membrane Reactors for CO2 Capture
FV Lima, X He, R Amrit, P Daoutidis
Process Systems and Materials for CO2 Capture: Modelling, Design, Control …, 2017
Krav: US Department of Energy
Application of graph theory and filter based variable selection methods in the design of a distributed data-driven monitoring system
S Khatib, P Daoutidis
Computers & Chemical Engineering 143, 107098, 2020
Krav: US National Science Foundation
Multiple Hotelling’s T2 tests for distributed fault detection of large-scale systems
S Khatib, P Daoutidis
Computers & Chemical Engineering 136, 106807, 2020
Krav: US National Science Foundation
Dynamic characteristics of energy-integrated batch process systems: Insights from two case studies
SS Jogwar, P Daoutidis
Industrial & Engineering Chemistry Research 54 (16), 4326-4336, 2015
Krav: Department of Science & Technology, India
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