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
Mouhacine
Benosman
Yebin
Wang
Stefano
Di Cairano
Scott
Bortoff
Karl
Berntorp
Christopher
Laughman
Hongtao
Qiao
Saleh
Nabi
Rien
Quirynen
Avishai
Weiss
Claus
Danielson
Uroš
Kalabić
Daniel
Nikovski
Abraham
Goldsmith
Petros
Boufounos
Devesh
Jha
Hassan
Mansour
Diego
Romeres
Hongbo
Sun
William
Yerazunis
Jinyun
Zhang
Naohiro
Hayashi
Lei
Zhou
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News & Events
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NEWS Dr. Benosman joins the editorial board of the IEEE Control Systems Letters (L-CSS). Date: February 10, 2020
MERL Contact: Mouhacine Benosman
Research Areas: Control, Data Analytics, Dynamical SystemsBrief- Dr. Benosman has been nominated as an associate editor at the IEEE Control Systems Letters (L-CSS).
The L-CSS publishes peer-reviewed brief articles that provide a rapid and concise account of innovative ideas regarding the theory, design, and applications of all aspects of control engineering.
- Dr. Benosman has been nominated as an associate editor at the IEEE Control Systems Letters (L-CSS).
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NEWS Stefano Di Cairano Appointed Inaugural Chair of IEEE CSS Technology Conference Editorial Board Date: December 12, 2019
MERL Contact: Stefano Di Cairano
Research Areas: Control, Dynamical Systems, RoboticsBrief- Stefano Di Cairano has been appointed inaugural chair of the IEEE CSS Technology Conference Editorial Board. In this role Stefano will coordinate the creation and maintenance of the Editorial Board, and will coordinate the editorial board activities supporting the IEEE CCTA conference series, including manuscript assignment to associate editors, monitoring of the manuscript assessment, and program finalization with the conference program chairs. Stefano will also work with the other IEEE CSS Editorial Board Chairs and IEEE CSS Leadership to ensure the quality and improve the processes of IEEE CSS publications.
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Internships
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CA1260: Model Predictive Control of Hybrid Systems
The Control and Dynamical Systems (CD) group at MERL is seeking a highly motivated intern to work on hybrid model predictive control. The scope of work includes the development of model predictive control algorithms for hybrid dynamical systems, switched systems, and quantized systems, analysis and property proving, and applications in automotive, space systems, and energy systems. PhD students with expertise in some among control, optimization, model predictive control and hybrid systems, and with working knowledge of Matlab implementation are welcome to apply. The expected duration of the internship is 3-6 months with flexible start date.
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MD1406: Numerical Analysis of Electric Machines
MERL is seeking a motivated and qualified intern to conduct research in the design, modeling and optimization of electrical machines. The ideal candidate should have solid backgrounds in electromagnetic theory, electric machine design, and numerical modeling techniques (including model reduction), research experiences in electric, magnetic, and thermal modeling and analysis of electrical machines, and demonstrated capability to publish results in leading conferences/journals. Experience with ANSYS, COMSOL, and optimization techniques is a strong plus. Senior Ph.D. students in electrical or mechanical engineering with related expertise are encouraged to apply. Start date for this internship is flexible and the duration is 3-6 months.
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Recent Publications
- , "Nonlinear Double-Capacitor Model for Rechargeable Batteries: Modeling, Identification and Validation", IEEE Transactions on Control Systems Technology, DOI: 10.1109/TCST.2020.2976036, pp. 1-15, April 2020.BibTeX TR2020-035 PDF
- @article{Tian2020apr,
- author = {Tian, Ning and Fang, Huazhen and Chen, Jian and Wang, Yebin},
- title = {Nonlinear Double-Capacitor Model for Rechargeable Batteries: Modeling, Identification and Validation},
- journal = {IEEE Transactions on Control Systems Technology},
- year = 2020,
- pages = {1--15},
- month = apr,
- doi = {10.1109/TCST.2020.2976036},
- url = {https://www.merl.com/publications/TR2020-035}
- }
- , "Nonlinear State Estimation with FMI: Tutorial and Applications", American Modelica Conference 2020, March 2020.BibTeX TR2020-031 PDF Software
- @inproceedings{Laughman2020mar,
- author = {Laughman, Christopher R. and Bortoff, Scott A.},
- title = {Nonlinear State Estimation with FMI: Tutorial and Applications},
- booktitle = {American Modelica Conference 2020},
- year = 2020,
- month = mar,
- url = {https://www.merl.com/publications/TR2020-031}
- }
- , "Control Strategy for Long-Term Station-Keeping on Near-Rectilinear Halo Orbits", AAS/AIAA Space Flight Mechanics Meeting, DOI: 10.2514/6.2020-1459, January 2020.BibTeX TR2020-006 PDF
- @inproceedings{Muralidharan2020jan,
- author = {Muralidharan, Vivek and Weiss, Avishai and Kalabic, Uros},
- title = {Control Strategy for Long-Term Station-Keeping on Near-Rectilinear Halo Orbits},
- booktitle = {AAS/AIAA Space Flight Mechanics Meeting},
- year = 2020,
- month = jan,
- doi = {10.2514/6.2020-1459},
- url = {https://www.merl.com/publications/TR2020-006}
- }
- , "Trajectory Tracking for Autonomous Vehicles on Varying Road Surfaces by Friction-Adaptive Nonlinear Model Predictive Control", Journal of Vehicle Systems Dynamics, DOI: 10.1080/00423114.2019.1697456, January 2020.BibTeX TR2020-005 PDF
- @article{Berntorp2020jan,
- author = {Berntorp, Karl and Quirynen, Rien and Uno, Tomoki and Di Cairano, Stefano},
- title = {Trajectory Tracking for Autonomous Vehicles on Varying Road Surfaces by Friction-Adaptive Nonlinear Model Predictive Control},
- journal = {Journal of Vehicle Systems Dynamics},
- year = 2020,
- month = jan,
- doi = {10.1080/00423114.2019.1697456},
- url = {https://www.merl.com/publications/TR2020-005}
- }
- , "Finite-Time Convergence of Continuous-Time Optimization Algorithms via Differential Inclusions", Advances in Neural Information Processing Systems (NeurIPS) - Workshop, January 2020.BibTeX TR2020-001 PDF
- @inproceedings{Romero2020jan,
- author = {Romero, Orlando and Benosman, Mouhacine},
- title = {Finite-Time Convergence of Continuous-Time Optimization Algorithms via Differential Inclusions},
- booktitle = {Advances in Neural Information Processing Systems (NeurIPS) - Workshop},
- year = 2020,
- month = jan,
- url = {https://www.merl.com/publications/TR2020-001}
- }
- , "Model-based deep reinforcement learning for CACC in mixed-autonomy vehicle platoons", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC40024.2019.9030110, December 2019, pp. 4079-4084.BibTeX TR2019-142 PDF
- @inproceedings{Chu2019dec,
- author = {Chu, Tianshu and Kalabić, Uroš},
- title = {Model-based deep reinforcement learning for CACC in mixed-autonomy vehicle platoons},
- booktitle = {Proc. IEEE Conference on Decision and Control},
- year = 2019,
- pages = {4079--4084},
- month = dec,
- doi = {10.1109/CDC40024.2019.9030110},
- url = {https://www.merl.com/publications/TR2019-142}
- }
- , "Nonlinear Optimal Control Strategies for Buoyancy-Driven Flows in the Built Environment", Journal of Computers and Fluids, DOI: 10.1016/j.compfluid.2019.104313, Vol. 194, No. 104313, December 2019.BibTeX TR2019-151 PDF
- @article{Nabi2019dec,
- author = {Nabi, Saleh and Grover, Piyush and Caulfield, Colm},
- title = {Nonlinear Optimal Control Strategies for Buoyancy-Driven Flows in the Built Environment},
- journal = {Journal of Computers and Fluids},
- year = 2019,
- volume = 194,
- number = 104313,
- month = dec,
- doi = {10.1016/j.compfluid.2019.104313},
- url = {https://www.merl.com/publications/TR2019-151}
- }
- , "Improving LiDAR performance on complex terrain using CFD-based correction and direct-adjoint-loop optimization", Journal of physics, DOI: 10.1088/1742-6596/1452/1/012082, Vol. 1452, November 2019.BibTeX TR2019-152 PDF
- @article{Nabi2019nov,
- author = {Nabi, S. and Nishio, N. and Grover, P. and Matai, R. and Kajiyama, Y. and Kotake, N. and Kameyama, S. and Yoshiki, W. and Iida, M.},
- title = {Improving LiDAR performance on complex terrain using CFD-based correction and direct-adjoint-loop optimization},
- journal = {Journal of physics},
- year = 2019,
- volume = 1452,
- month = nov,
- doi = {10.1088/1742-6596/1452/1/012082},
- url = {https://www.merl.com/publications/TR2019-152}
- }
- , "Nonlinear Double-Capacitor Model for Rechargeable Batteries: Modeling, Identification and Validation", IEEE Transactions on Control Systems Technology, DOI: 10.1109/TCST.2020.2976036, pp. 1-15, April 2020.
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