Dynamical Systems
Exploiting nonlinearity and shaping dynamics in creative and deeply mathematical ways.
We apply dynamical systems theory in applications ranging from space probe trajectory optimization to elevator suspensions. We also develop fundamental theory and computational methods in fluid dynamics.
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Researchers
Stefano
Di Cairano
Avishai
Weiss
Yebin
Wang
Abraham P.
Vinod
Scott A.
Bortoff
Christopher R.
Laughman
Saviz
Mowlavi
Hassan
Mansour
Petros T.
Boufounos
Hongtao
Qiao
Chungwei
Lin
Daniel N.
Nikovski
Purnanand
Elango
Yanting
Ma
Alexander
Schperberg
Abraham
Goldsmith
Diego
Romeres
Pedro
Miraldo
Philip V.
Orlik
Arvind
Raghunathan
Pu
(Perry)
Wang
William S.
Yerazunis
Vedang M.
Deshpande
Jianlin
Guo
Toshiaki
Koike-Akino
Kieran
Parsons
Joshua
Rapp
Hongbo
Sun
Bingnan
Wang
Jinyun
Zhang
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Awards
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AWARD MERL intern and Researchers wins 2025 IEEE CCTA Best Student Paper Award Date: August 27, 2025
Awarded to: Yingjie Hu (Student, Intern), Karl Berntorp, Stefano Di Cairano (MERL Researchers)
MERL Contact: Stefano Di Cairano
Research Areas: Control, Dynamical Systems, Signal ProcessingBrief- MERL intern Yingjie Hu was recognized as the winner of the 2025 IEEE CCTA Best Student Paper Award for the paper "Optimal Measurement Projection in GNSS-RTK Factor Graph Optimization" written in collaboration with MERL Researchers Karl Berntorp and Stefano Di Cairano during the internship at MERL
The paper develops methods for measurement projections for reducing the computational burden of factor graph optimization algorithms in GNSS applications, thus enabling their use in real-time in a wider range of positioning applications.
The IEEE Conference on Control Technology and Application is the conference of the IEEE Control Systems Society focused on applications and technological advances of control systems
- MERL intern Yingjie Hu was recognized as the winner of the 2025 IEEE CCTA Best Student Paper Award for the paper "Optimal Measurement Projection in GNSS-RTK Factor Graph Optimization" written in collaboration with MERL Researchers Karl Berntorp and Stefano Di Cairano during the internship at MERL
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AWARD University of Padua and MERL team wins the AI Olympics with RealAIGym competition at IROS24 Date: October 17, 2024
Awarded to: Niccolò Turcato, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres
MERL Contact: Diego Romeres
Research Areas: Artificial Intelligence, Dynamical Systems, Machine Learning, RoboticsBrief- The team composed of the control group at the University of Padua and MERL's Optimization and Robotic team ranked 1st out of the 4 finalist teams that arrived to the 2nd AI Olympics with RealAIGym competition at IROS 24, which focused on control of under-actuated robots. The team was composed by Niccolò Turcato, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli and Diego Romeres. The competition was organized by the German Research Center for Artificial Intelligence (DFKI), Technical University of Darmstadt and Chalmers University of Technology.
The competition and award ceremony was hosted by IEEE International Conference on Intelligent Robots and Systems (IROS) on October 17, 2024 in Abu Dhabi, UAE. Diego Romeres presented the team's method, based on a model-based reinforcement learning algorithm called MC-PILCO.
- The team composed of the control group at the University of Padua and MERL's Optimization and Robotic team ranked 1st out of the 4 finalist teams that arrived to the 2nd AI Olympics with RealAIGym competition at IROS 24, which focused on control of under-actuated robots. The team was composed by Niccolò Turcato, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli and Diego Romeres. The competition was organized by the German Research Center for Artificial Intelligence (DFKI), Technical University of Darmstadt and Chalmers University of Technology.
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AWARD MERL’s Paper on Wi-Fi Sensing Earns Top 3% Paper Recognition at ICASSP 2023, Selected as a Best Student Paper Award Finalist Date: June 9, 2023
Awarded to: Cristian J. Vaca-Rubio, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Petros Boufounos and Petar Popovski
MERL Contacts: Petros T. Boufounos; Toshiaki Koike-Akino; Pu (Perry) Wang; Ye Wang
Research Areas: Artificial Intelligence, Communications, Computational Sensing, Dynamical Systems, Machine Learning, Signal ProcessingBrief- A MERL Paper on Wi-Fi sensing was recognized as a Top 3% Paper among all 2709 accepted papers at the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023). Co-authored by Cristian Vaca-Rubio and Petar Popovski from Aalborg University, Denmark, and MERL researchers Pu Wang, Toshiaki Koike-Akino, Ye Wang, and Petros Boufounos, the paper "MmWave Wi-Fi Trajectory Estimation with Continous-Time Neural Dynamic Learning" was also a Best Student Paper Award finalist.
Performed during Cristian’s stay at MERL first as a visiting Marie Skłodowska-Curie Fellow and then as a full-time intern in 2022, this work capitalizes on standards-compliant Wi-Fi signals to perform indoor localization and sensing. The paper uses a neural dynamic learning framework to address technical issues such as low sampling rate and irregular sampling intervals.
ICASSP, a flagship conference of the IEEE Signal Processing Society (SPS), was hosted on the Greek island of Rhodes from June 04 to June 10, 2023. ICASSP 2023 marked the largest ICASSP in history, boasting over 4000 participants and 6128 submitted papers, out of which 2709 were accepted.
- A MERL Paper on Wi-Fi sensing was recognized as a Top 3% Paper among all 2709 accepted papers at the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023). Co-authored by Cristian Vaca-Rubio and Petar Popovski from Aalborg University, Denmark, and MERL researchers Pu Wang, Toshiaki Koike-Akino, Ye Wang, and Petros Boufounos, the paper "MmWave Wi-Fi Trajectory Estimation with Continous-Time Neural Dynamic Learning" was also a Best Student Paper Award finalist.
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News & Events
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NEWS Abraham Vinod Delivers Invited Talks at The University of Texas at Austin and The University of Texas at Dallas Date: November 11, 2025 - November 13, 2025
MERL Contact: Abraham P. Vinod
Research Areas: Artificial Intelligence, Control, Dynamical Systems, Machine Learning, Optimization, RoboticsBrief- MERL researcher Abraham Vinod was invited to present MERL's latest research at the University of Texas at Austin and The University of Texas at Dallas this November. His talk discussed a tractable set-based method for a broad class of robust control problems with nonlinear dynamics and bounded uncertainty, with applications to powered descent guidance and drone motion planning problems. Additionally, he also presented MERL's recent research on environmental monitoring using hetereogenous robots, with applications in disaster management and search-and-rescue.
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NEWS MERL researchers present 13 papers at ACC 2025 Date: July 8, 2025 - July 10, 2025
Where: Denver, USA
MERL Contacts: Vedang M. Deshpande; Stefano Di Cairano; Purnanand Elango; Jordan Leung; Saviz Mowlavi; Diego Romeres; Abraham P. Vinod; Yebin Wang; Avishai Weiss
Research Areas: Control, Dynamical Systems, Electric Systems, Machine Learning, Multi-Physical Modeling, RoboticsBrief- MERL researchers presented 13 papers at the recently concluded American Control Conference (ACC) 2025 in Denver, USA. The papers covered a wide range of topics including Bayesian optimization for personalized medicine, machine learning for battery performance in eVTOLs, model predictive control for space and building systems, process systems engineering for sustainability, GNSS-RTK optimization, convex set manipulation, PDE control, servo system modeling, battery fault diagnosis, truck fleet coordination, interactive motion planning, and satellite station keeping. Additionally, MERL researchers (Vedang Deshpande and Ankush Chakrabarty) organized an invited session on design and optimization of energy systems.
As a sponsor of the conference, MERL maintained a booth for open discussions with researchers and students, and hosted a special session to discuss highlights of MERL research and work philosophy.
- MERL researchers presented 13 papers at the recently concluded American Control Conference (ACC) 2025 in Denver, USA. The papers covered a wide range of topics including Bayesian optimization for personalized medicine, machine learning for battery performance in eVTOLs, model predictive control for space and building systems, process systems engineering for sustainability, GNSS-RTK optimization, convex set manipulation, PDE control, servo system modeling, battery fault diagnosis, truck fleet coordination, interactive motion planning, and satellite station keeping. Additionally, MERL researchers (Vedang Deshpande and Ankush Chakrabarty) organized an invited session on design and optimization of energy systems.
See All News & Events for Dynamical Systems -
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Internships
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ST0245: Internship - Python-OpenFOAM Interface for Active Flow Control
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OR0217: Internship - Fast Electromagnetic Transient Analysis of Power Grids
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OR0248: Internship - Hybrid AC and DC Power Grids
See All Internships for Dynamical Systems -
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Openings
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MS0268: Research Scientist - Multiphysical Systems
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CA0093: Research Scientist - Control for Autonomous Systems
See All Openings at MERL -
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Recent Publications
- , "Set-based lossless convexification for a class of robust nonlinear optimal control problems", IEEE Conference on Decision and Control (CDC), December 2025.BibTeX TR2025-160 PDF
- @inproceedings{Vinod2025dec,
- author = {Vinod, Abraham P. and Kamath, Abhinav and Weiss, Avishai and {Di Cairano}, Stefano},
- title = {{Set-based lossless convexification for a class of robust nonlinear optimal control problems}},
- booktitle = {IEEE Conference on Decision and Control (CDC)},
- year = 2025,
- month = dec,
- url = {https://www.merl.com/publications/TR2025-160}
- }
- , "Application of Optimal Control to Time-Resolution Protocol for Quantum Sensing", Physical Review, November 2025.BibTeX TR2025-161 PDF
- @article{Lin2025nov,
- author = {Lin, Chungwei and Ding, Qi (Andy) and Ma, Yanting},
- title = {{Application of Optimal Control to Time-Resolution Protocol for Quantum Sensing}},
- journal = {Physical Review},
- year = 2025,
- month = nov,
- url = {https://www.merl.com/publications/TR2025-161}
- }
- , "Energy-constrained multi-robot exploration for autonomous map building", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2025.BibTeX TR2025-131 PDF
- @inproceedings{Karumanchi2025oct,
- author = {Karumanchi, Sambhu and Rokaha, Bhagawan and Schperberg, Alexander and Vinod, Abraham P.},
- title = {{Energy-constrained multi-robot exploration for autonomous map building}},
- booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
- year = 2025,
- month = oct,
- url = {https://www.merl.com/publications/TR2025-131}
- }
- , "Energy-Efficient Motion Planner for Legged Robots", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2025.BibTeX TR2025-151 PDF Video
- @inproceedings{Schperberg2025oct,
- author = {Schperberg, Alexander and Menner, Marcel and {Di Cairano}, Stefano},
- title = {{Energy-Efficient Motion Planner for Legged Robots}},
- booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
- year = 2025,
- month = oct,
- url = {https://www.merl.com/publications/TR2025-151}
- }
- , "Optimal Measurement Projection in GNSS-RTK Factor Graph Optimization", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/CCTA53793.2025.11151373, August 2025.BibTeX TR2025-118 PDF
- @inproceedings{Hu2025aug,
- author = {Hu, Yingjie and {Di Cairano}, Stefano and Berntorp, Karl},
- title = {{Optimal Measurement Projection in GNSS-RTK Factor Graph Optimization}},
- booktitle = {IEEE Conference on Control Technology and Applications (CCTA)},
- year = 2025,
- month = aug,
- doi = {10.1109/CCTA53793.2025.11151373},
- url = {https://www.merl.com/publications/TR2025-118}
- }
- , "Dynamic Sensor Scheduling for Spatio-temporal Monitoring of Water Bodies", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/CCTA53793.2025.11151521, August 2025, pp. 673-680.BibTeX TR2025-117 PDF
- @inproceedings{Deshpande2025aug,
- author = {Deshpande, Vedang M. and Vinod, Abraham P.},
- title = {{Dynamic Sensor Scheduling for Spatio-temporal Monitoring of Water Bodies}},
- booktitle = {2025 IEEE Conference on Control Technology and Applications (CCTA)},
- year = 2025,
- pages = {673--680},
- month = aug,
- doi = {10.1109/CCTA53793.2025.11151521},
- url = {https://www.merl.com/publications/TR2025-117}
- }
- , "Policy Optimization for PDE Control with a Warm Start", American Control Conference (ACC), DOI: 10.23919/ACC63710.2025.11107977, July 2025, pp. 3539-3544.BibTeX TR2025-105 PDF
- @inproceedings{Zhang2025jul,
- author = {Zhang, Xiangyuan and Mowlavi, Saviz and Benosman, Mouhacine and Basar, Tamer},
- title = {{Policy Optimization for PDE Control with a Warm Start}},
- booktitle = {American Control Conference (ACC)},
- year = 2025,
- pages = {3539--3544},
- month = jul,
- publisher = {IEEE},
- doi = {10.23919/ACC63710.2025.11107977},
- url = {https://www.merl.com/publications/TR2025-105}
- }
- , "Truck Fleet Coordination for Warehouse Trailer Management by Temporal Logic with Energy Constraints", American Control Conference (ACC), DOI: 10.23919/ACC63710.2025.11107663, July 2025.BibTeX TR2025-103 PDF
- @inproceedings{Cardona2025jul,
- author = {Cardona, Gustavo and Vasile, Cristian-Ioan and {Di Cairano}, Stefano},
- title = {{Truck Fleet Coordination for Warehouse Trailer Management by Temporal Logic with Energy Constraints}},
- booktitle = {American Control Conference (ACC)},
- year = 2025,
- month = jul,
- doi = {10.23919/ACC63710.2025.11107663},
- url = {https://www.merl.com/publications/TR2025-103}
- }
- , "Set-based lossless convexification for a class of robust nonlinear optimal control problems", IEEE Conference on Decision and Control (CDC), December 2025.
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