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Gaurav Mirlekar
Gaurav Mirlekar
University of South-Eastern Norway
Verified email at usn.no
Title
Cited by
Cited by
Year
Development of chemical process design and control for sustainability
S Li, G Mirlekar, GJ Ruiz-Mercado, FV Lima
Processes 4 (3), 23, 2016
472016
Design and Implementation of a Biologically Inspired Optimal Control Strategy for Chemical Process Control
G Mirlekar, S Li, FV Lima
Industrial & Engineering Chemistry Research 56 (22), 6468-6479, 2017
172017
Modeling and advanced control for sustainable process systems
FV Lima, S Li, GV Mirlekar, LN Sridhar, G Ruiz-Mercado
Sustainability in the design, synthesis and analysis of chemical engineering …, 2016
162016
A Biologically-Inspired Optimal Control Strategy (BIO-CS) for Hybrid Energy Systems
G Mirlekar, P Pezzini, M Bryden, D Tucker, FV Lima
2017 American Control Conference (ACC), 4821-4826, 2017
152017
A biologically-inspired approach for adaptive control of advanced energy systems
G Mirlekar, G Al-Sinbol, M Perhinschi, FV Lima
Computers & Chemical Engineering 117, 378-390, 2018
142018
Biomimetic model-based advanced control strategy integrated with multi-agent optimization for nonlinear chemical processes
G Mirlekar, B Gebreslassie, U Diwekar, FV Lima
Chemical Engineering Research and Design 140, 229-240, 2018
132018
Development of an immunity-based framework for power plant monitoring and control
MG Perhinschi, G Al-Sinbol, D Bhattacharyya, F Lima, G Mirlekar, ...
Advanced Chemical Engineering Research 4 (1), 15-28, 2015
82015
An integrated biomimetic control strategy with multi-agent optimization for nonlinear chemical processes
G Mirlekar, BH Gebreslassie, S Li, UM Diwekar, FV Lima
IFAC-PapersOnLine 51 (18), 55-60, 2018
42018
Development of Integrated Biomimetic Framework with Intelligent Monitoring, Cognition and Decision Capabilities for Control of Advanced Energy Plants
D Bhattacharyya, F Lima, M Perhinschi, R Turton, U Diwekar, T Bankole, ...
West Virginia Univ., Morgantown, WV (United States), 2018
22018
Agent-Based and Stochastic Optimization Incorporated with Machine Learning for Simulation of Postcombustion CO2 Capture Process
H Zheng, G Mirlekar, LO Nord
Processes 10 (12), 2727, 2022
12022
Machine learning techniques for modeling chemical absorption in CO2 capture process
H Zheng, G Mirlekar, LO Nord
Proceedings of the 63rd International Conference of Scandinavian Simulation …, 2022
12022
Sustainability analysis and simulation of a Polymer Electrolyte Membrane (PEM) electrolyser for green hydrogen production
JB Rabascall, G Mirlekar
Scandinavian Simulation Society, 110-117, 2023
2023
Proceedings of the 63rd International Conference of Scandinavian Simulation Society, SIMS 2022, Trondheim, Norway, September 20-21, 2022
LO Nord, TM Komulainen, C Netzer, G Mirlekar, B Dongmo-Engeland, ...
Linköping University Electronic Press, 2022
2022
Design and Implementation of an Optimal Control Framework for Post-combustion CO2 Capture Process
G Mirlekar, LO Nord
Computer Aided Chemical Engineering 51, 1027-1032, 2022
2022
Applied Math for Energy and Environmental Applications
P He, K Yenkie, F Lima, J Jäschke, G Mirlekar
2019 AIChE Annual Meeting, 2019
2019
Model Predictive Control with Real-Time Sustainability Monitoring: Application to an Advanced Energy System
S Li, G Mirlekar, FV Lima
2019 AIChE Annual Meeting, 2019
2019
Modeling and Advanced Process Control of Supercritical Carbon Dioxide (sCO2)-Based Energy System
G Mirlekar, J Albright, S Li, EA Liese, S Zitney, AP Burgard
2019 AIChE Annual Meeting, 2019
2019
Dynamic Modeling and Control Strategies for Flexible Operation of a 10 MWe Supercritical CO2 Recompression Closed Brayton Cycle
J Albright, GV Mirlekar, E Liese, S Zitney
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV …, 2019
2019
Advanced Biomimetic Control Approach Integrated with Multi-Agent Optimization for Nonlinear Chemical Processes
G Mirlekar, B Gebreslassie, U Diwekar, F Lima
2018 AIChE Annual Meeting, 2018
2018
Model Predictive Control of a Nonisothermal and Nonisobaric Membrane Reactor for Water-Gas Shift Reaction Applications
J Douglas, P Akula, G Mirlekar, FV Lima
2018
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