Multi-Physical Modeling
Optimal design & robust control through multi-physical modeling.
Our work involves the development of state-of-art modeling and simulation tools for complex, heterogeneous systems. We apply these models for the optimal design and robust control of a variety of systems including HVAC systems, zero-energy buildings, automobiles, and robotic systems.
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Researchers
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News & Events
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NEWS Rien Quirynen Appointed IPC Vice-Chair for the 8th IFAC Conference on NMPC 2024 Date: August 27, 2024 - August 30, 2024
Where: Kyoto, Japan
MERL Contact: Rien Quirynen
Research Areas: Control, Machine Learning, Multi-Physical Modeling, Optimization, RoboticsBrief- MERL researcher Rien Quirynen has been appointed as Vice-Chair from Industry of the International Program Committee of the 8th IFAC Conference on Nonlinear Model Predictive Control, which will be held in Kyoto, Japan, in August 2024.
IFAC NMPC is the main symposium focused on model predictive control, theory, methods and applications, includes contributions on control, optimization, and machine learning research, and is held every 3 years.
- MERL researcher Rien Quirynen has been appointed as Vice-Chair from Industry of the International Program Committee of the 8th IFAC Conference on Nonlinear Model Predictive Control, which will be held in Kyoto, Japan, in August 2024.
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NEWS Chris Laughman delivered two seminar talks for at the School of Engineering at Penn State Date: February 16, 2023 - February 17, 2023
Where: Pennsylvania State University
MERL Contact: Christopher R. Laughman
Research Areas: Control, Machine Learning, Multi-Physical ModelingBrief- On February 16 and 17, Chris Laughman, Senior Team Leader of the Multiphysical Systems Team, presented lectures for the Systems, Robotics, and Controls Seminar Series in the School of Engineering, and for the Distinguished Speaker Series in Architectural Engineering. His talk was titled "Architectural Thermofluid Systems: Next-Generation Challenges and Opportunities," and described characteristics of these systems that require specific attention in model-based system engineering processes, as well as MERL research to address these challenges.
See All News & Events for Multi-Physical Modeling -
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Internships
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MS1851: Dynamic Modeling and Control for Grid-Interactive Buildings
MERL is looking for a highly motivated and qualified candidate to work on modeling for smart sustainable buildings. The ideal candidate will have a strong understanding of modeling renewable energy sources, grid-interactive buildings, occupant behavior, and dynamical systems with expertise demonstrated via, e.g., peer-reviewed publications. Hands-on programming experience with Modelica is preferred. The minimum duration of the internship is 12 weeks; start time is flexible. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.
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MS1957: Estimation and Model Structure Identification for Digital Twins
MERL is looking for a highly motivated and qualified candidate to work on estimation and model structure identification for digital twins of multi-physical systems. The research will involve study and development of white-box and grey-box model calibration and identification methods suitable for large-scale systems. The ideal candidate will have a strong background in one or multiple of the following topics: nonlinear estimation, model identification, optimization, data-driven and reduced order modeling, and machine learning; with expertise demonstrated via, e.g., peer-reviewed publications. Prior programming experience in Julia/Modelica is a plus. Senior PhD students in mechanical, electrical, chemical engineering or related fields are encouraged to apply. The typical duration of internship is 3 months and start date is flexible.
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MD1887: Optimization and control of xEV and electric aircraft
MERL is seeking a motivated and qualified individual to conduct research in modeling, control, simulation and analysis of electric system involved in xEV and electric aircraft. The ideal candidate should have solid backgrounds in some of the following areas: modeling, control, and simulation of electrical systems (including generators, motors, power electronics and batteries), aerodynamics, mission analysis, flight dynamics, and multi-disciplinary system design optimization. Demonstrated experience in software/language such as Modelica or Matlab/Simulink/Simscape is a necessity. Knowledge and experience of CarSim, NPSS, SUAVE, and FLOPS is a definite plus. Senior Ph.D. students in automotive, aerospace, and electrical engineering are encouraged to apply. Start date for this internship is flexible and the duration is about 3 months.
See All Internships for Multi-Physical Modeling -
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Recent Publications
- , "Magnetic Cooling with Thin Peltier Modules as Thermal Switches", Journal of Magnetism and Magnetic Materials, DOI: 10.1016/j.jmmm.2023.170482, Vol. 570, pp. 170482, February 2023.BibTeX TR2023-006 PDF
- @article{Lin2023feb,
- author = {Lin, Chungwei},
- title = {Magnetic Cooling with Thin Peltier Modules as Thermal Switches},
- journal = {Journal of Magnetism and Magnetic Materials},
- year = 2023,
- volume = 570,
- pages = 170482,
- month = feb,
- doi = {10.1016/j.jmmm.2023.170482},
- issn = {0304-8853},
- url = {https://www.merl.com/publications/TR2023-006}
- }
- , "https://iwww.merl.com/TR/camready-4505.pdf", Modeling, Estimation and Control Conference, December 2022.BibTeX TR2022-170 PDF
- @inproceedings{Bhattacharya2022dec,
- author = {Bhattacharya, Chandrachur and Chakrabarty, Ankush and Laughman, Christopher R. and Qiao, Hongtao},
- title = {https://iwww.merl.com/TR/camready-4505.pdf},
- booktitle = {Modeling, Estimation and Control Conference},
- year = 2022,
- month = dec,
- url = {https://www.merl.com/publications/TR2022-170}
- }
- , "Induction Motor Eccentricity Fault Analysis and Quantification with Modified Winding Function based Model", International Conference on Electric Machines and Systems, DOI: 10.1109/ICEMS56177.2022.9983377, December 2022, pp. 1-6.BibTeX TR2022-153 PDF
- @inproceedings{Wang2022dec,
- author = {Wang, Bingnan and Albader, Mesaad and Inoue, Hiroshi and Kanemaru, Makoto},
- title = {Induction Motor Eccentricity Fault Analysis and Quantification with Modified Winding Function based Model},
- booktitle = {2022 25th International Conference on Electrical Machines and Systems (ICEMS)},
- year = 2022,
- pages = {1--6},
- month = dec,
- doi = {10.1109/ICEMS56177.2022.9983377},
- url = {https://www.merl.com/publications/TR2022-153}
- }
- , "Electric Machine Two-dimensional Flux Map Prediction with Ensemble Learning", International Conference on Electrical Machines and Systems, DOI: 10.1109/ICEMS56177.2022.9982881, December 2022, pp. 1-4.BibTeX TR2022-152 PDF
- @inproceedings{Talukder2022dec,
- author = {Talukder, Khaled and Wang, Bingnan and Sakamoto, Yusuke},
- title = {Electric Machine Two-dimensional Flux Map Prediction with Ensemble Learning},
- booktitle = {International Conference on Electrical Machines and Systems},
- year = 2022,
- pages = {1--4},
- month = dec,
- doi = {10.1109/ICEMS56177.2022.9982881},
- url = {https://www.merl.com/publications/TR2022-152}
- }
- , "Simulation Failure Robust Bayesian Optimization for Data-Driven Parameter Estimation", IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2022.3216790, December 2022.BibTeX TR2022-168 PDF
- @article{Chakrabarty2022dec2,
- author = {Chakrabarty, Ankush and Bortoff, Scott A. and Laughman, Christopher R.},
- title = {Simulation Failure Robust Bayesian Optimization for Data-Driven Parameter Estimation},
- journal = {IEEE Transactions on Systems, Man, and Cybernetics: Systems},
- year = 2022,
- month = dec,
- doi = {10.1109/TSMC.2022.3216790},
- url = {https://www.merl.com/publications/TR2022-168}
- }
- , "Spatio-Temporal Thermal Monitoring for Lithium-Ion Batteries via Kriged Kalman Filtering", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC51059.2022.9992543, December 2022.BibTeX TR2022-162 PDF
- @inproceedings{Tu2022dec2,
- author = {Tu, Hao and Wang, Yebin and Li, Xianglin and Fang, Huazhen},
- title = {Spatio-Temporal Thermal Monitoring for Lithium-Ion Batteries via Kriged Kalman Filtering},
- booktitle = {IEEE Conference on Decision and Control (CDC)},
- year = 2022,
- month = dec,
- doi = {10.1109/CDC51059.2022.9992543},
- url = {https://www.merl.com/publications/TR2022-162}
- }
- , "Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries", Applied Energy, DOI: 10.1016/j.apenergy.2022.120289, Vol. 329, December 2022.BibTeX TR2022-155 PDF
- @article{Tu2022dec,
- author = {Tu, Hao and Moura, Scott and Wang, Yebin and Fang, Huazhen},
- title = {Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries},
- journal = {Applied Energy},
- year = 2022,
- volume = 329,
- month = dec,
- doi = {10.1016/j.apenergy.2022.120289},
- url = {https://www.merl.com/publications/TR2022-155}
- }
- , "Performance Enhancements for Zero-Flow Simulation of Vapor Compression Cycles", American Modelica Conference, October 2022.BibTeX TR2022-137 PDF
- @inproceedings{Qiao2022oct,
- author = {Qiao, Hongtao and Laughman, Christopher R.},
- title = {Performance Enhancements for Zero-Flow Simulation of Vapor Compression Cycles},
- booktitle = {American Modelica Conference},
- year = 2022,
- month = oct,
- url = {https://www.merl.com/publications/TR2022-137}
- }
- , "Magnetic Cooling with Thin Peltier Modules as Thermal Switches", Journal of Magnetism and Magnetic Materials, DOI: 10.1016/j.jmmm.2023.170482, Vol. 570, pp. 170482, February 2023.
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Videos
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[MERL Seminar Series Spring 2022] Exact Structural Analysis of Multimode Modelica Models
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[MERL Seminar Series 2021] Harnessing machine learning to build better Earth system models for climate projection
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[MERL Seminar Series 2021] Use the [Magnetic] Force for Good: Sustainability Through Magnetic Levitation
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Co-simulation of HVAC Equipment and Airflow
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Modelica-Based Modeling and Control of a Delta Robot
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