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LEARNS Supported Publications
2022
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Doshi, M.M., M.S. Bhabra, and P.F.J. Lermusiaux, 2022. Energy-Time Optimal Path Planning in Dynamic Flows: Theory and Schemes. Computer Methods in Applied Mechanics and Engineering, sub-judice.
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Doshi, M., M. Bhabra, M. Wiggert, C.J. Tomlin, and P.F.J. Lermusiaux, 2022. Hamilton–Jacobi Multi-Time Reachability. In: IEEE Conference on Decision and Control, Cancún, 6-9 Dec 2022, pp. 1-8, in press.
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Kulkarni, C.S. and P.F.J. Lermusiaux, 2022. Persistent Lagrangian Material Coherence in Fluid and Ocean Flows Using Flow Map Composition. Ocean Modelling, sub-judice.
2021
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Lu, P., and P.F.J. Lermusiaux, 2021. Bayesian Learning of Stochastic Dynamical Models. Physica D 427: 133003. doi:10.1016/j.physd.2021.133003
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Gupta, A. and P.F.J. Lermusiaux, 2021. Neural Closure Models for Dynamical Systems. Proceedings of The Royal Society A, 477(2252), pp. 1–29. doi:10.1098/rspa.2020.1004
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Lin, J. and P.F.J. Lermusiaux, 2021. Minimum-Correction Second-Moment Matching: Theory, Algorithms and Applications. Numerische Mathematik 147(3): 611–650. doi:10.1007/s00211-021-01178-8
2020
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Mannarini, G., D.N. Subramani, P.F.J. Lermusiaux, and N. Pinardi, 2020. Graph-Search and Differential Equations for Time-Optimal Vessel Route Planning in Dynamic Ocean Waves, IEEE Transactions on Intelligent Transportation Systems 21(6), 1-13, doi:10.1109/TITS.2019.2935614
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Lolla, T. and P.F.J. Lermusiaux, 2020. A Forward Reachability Equation for Minimum-Time Path Planning in Strong Dynamic Flows. SIAM Journal on Control and Optimization, sub-judice.
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Kulkarni, C.S. and P.F.J. Lermusiaux, 2020. Three-Dimensional Time-Optimal Path Planning in the Ocean, Ocean Modelling, 152, 101644. doi:10.1016/j.ocemod.2020.101644
2019
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Ali, W.H., M.H. Mirhi, A. Gupta, C.S. Kulkarni, C. Foucart, M.M. Doshi, D.N. Subramani, C. Mirabito, P.J. Haley, Jr., and P.F.J. Lermusiaux, 2019. SeaVizKit: Interactive Maps for Ocean Visualization. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi:10.23919/OCEANS40490.2019.8962794
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Feppon, F. and P.F.J. Lermusiaux, 2019. The Extrinsic Geometry of Dynamical Systems Tracking Nonlinear Matrix Projections. SIAM Journal on Matrix Analysis and Applications, 40(2), 814–844. doi:10.1137/18M1192780
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Subramani, D.N. and P.F.J. Lermusiaux, 2019. Risk-Optimal Path Planning in Stochastic Dynamic Environments. Computer Methods in Applied Mechanics and Engineering, 353, 391–415. doi:10.1016/j.cma.2019.04.033
2018
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Ferris, D.L., D.N. Subramani, C.S. Kulkarni, P.J. Haley, and P.F.J. Lermusiaux, 2018. Time-Optimal Multi-Waypoint Mission Planning in Dynamic Environments. In: Oceans '18 MTS/IEEE Charleston, 22-25 October 2018. doi:10.1109/oceans.2018.8604505
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Dutt, A., D.N. Subramani, C.S. Kulkarni, and P.F.J. Lermusiaux, 2018. Clustering of Massive Ensemble of Vehicle Trajectories in Strong, Dynamic and Uncertain Ocean Flows. In: Oceans '18 MTS/IEEE Charleston, 22-25 October 2018. doi:10.1109/oceans.2018.8604634
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Feppon, F. and P.F.J. Lermusiaux, 2018. Dynamically Orthogonal Numerical Schemes for Efficient Stochastic Advection and Lagrangian Transport. SIAM Review, 60(3), 595–625. doi:10.1137/16m1109394
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Aoussou, J., J. Lin, and P.F.J. Lermusiaux, 2018. Iterated Pressure-Correction Projection Methods for the Unsteady Incompressible Navier-Stokes Equations. Journal of Computational Physics, 373, 940–974. doi:10.1016/j.jcp.2018.06.062
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Feppon, F. and P.F.J. Lermusiaux, 2018. A Geometric Approach to Dynamical Model-Order Reduction. SIAM Journal on Matrix Analysis and Applications, 39(1), 510–538. doi:10.1137/16m1095202
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Subramani, D.N., Q.J. Wei, and P.F.J. Lermusiaux, 2018. Stochastic Time-Optimal Path-Planning in Uncertain, Strong, and Dynamic Flows. Computer Methods in Applied Mechanics and Engineering, 333, 218–237. doi:10.1016/j.cma.2018.01.004
2017
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Lermusiaux, P.F.J., D.N. Subramani, J. Lin, C.S. Kulkarni, A. Gupta, A. Dutt, T. Lolla, P.J. Haley Jr., W.H. Ali, C. Mirabito, and S. Jana, 2017. A Future for Intelligent Autonomous Ocean Observing Systems. The Sea. Volume 17, The Science of Ocean Prediction, Part 2, J. Marine Res. 75(6), pp. 765–813. https://doi.org/10.1357/002224017823524035
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Lermusiaux, P.F.J., P.J. Haley Jr., S. Jana, A. Gupta, C.S. Kulkarni, C. Mirabito,
W.H. Ali, D.N. Subramani, A. Dutt, J. Lin, A. Y. Shcherbina, C. M. Lee, and A. Gangopadhyay, 2017. Optimal Planning and Sampling Predictions for Autonomous and Lagrangian Platforms and Sensors in the Northern Arabian Sea. Oceanography 30(2):172–185, https://doi.org/10.5670/oceanog.2017.242.
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Mirabito, C., D.N. Subramani, T. Lolla, P.J. Haley, Jr., A. Jain, P.F.J. Lermusiaux, C. Li, D.K.P. Yue, Y. Liu, F.S. Hover,
N. Pulsone, J. Edwards, K.E. Railey, and G. Shaw, 2017. Autonomy for Surface Ship Interception.
In: Oceans '17 MTS/IEEE Aberdeen, 1-10, 19-22 June 2017, DOI: 10.1109/OCEANSE.2017.8084817
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Edwards, J., J. Smith, A. Girard, D. Wickman, P.F.J. Lermusiaux, D.N. Subramani, P.J. Haley, Jr., C. Mirabito, C.S. Kulkarni, and,
S. Jana, 2017. Data-driven Learning and Modeling of AUV Operational Characteristics for Optimal Path Planning.
In: Oceans '17 MTS/IEEE Aberdeen, 1-5, 19-22 June 2017, DOI: 10.1109/OCEANSE.2017.8084779
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Subramani, D. N., P. F. J. Lermusiaux, P.J. Haley, Jr., C. Mirabito, S. Jana,
C. S. Kulkarni, A. Girard, D. Wickman, J. Edwards, J. Smith, 2017. Time-Optimal Path Planning: Real-Time Sea Exercises. In: Oceans '17 MTS/IEEE Aberdeen, 1-10, 19-22 June 2017, DOI: 10.1109/OCEANSE.2017.8084776
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Sun, W., P. Tsiotras, T. Lolla, D. N. Subramani and P. F. J. Lermusiaux, 2017. Pursuit-evasion games in dynamic flow fields via reachability set analysis American Control Conference (ACC), Seattle, WA, 2017, pp. 4595-4600.
doi: 10.23919/ACC.2017.7963664
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Subramani, D. N., P. J. Haley Jr., and P. F. J. Lermusiaux, 2017.
Energy-optimal path planning in the coastal ocean. Journal of Geophysical Research Oceans, 122, 3981–4003. doi:10.1002/2016JC012231.
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Sun, W., P. Tsiotras, T. Lolla, D. N. Subramani, and P. F. J. Lermusiaux, 2017. Multiple-Pursuer-One-Evader Pursuit Evasion Game in Dynamic Flow Fields. Journal of Guidance, Control and Dynamics, 40 (7), 1627-1637. DOI: 10.2514/1.G002125
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Lolla, T. and P.F.J. Lermusiaux, 2017b. A Gaussian Mixture Model Smoother for Continuous Nonlinear Stochastic Dynamical Systems: Applications. Monthly Weather Review, 145, 2763-2790 DOI:10.1175/MWR-D-16-0065.1.
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Lolla, T. and P.F.J. Lermusiaux, 2017a. A Gaussian Mixture Model Smoother for Continuous Nonlinear Stochastic Dynamical Systems: Theory and Scheme. Monthly Weather Review, 145, 2743-2761, DOI:10.1175/MWR-D-16-0064.1
2016
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Heaney, K. D., P. F. J. Lermusiaux, T. F. Duda and P. J. Haley Jr., 2016.Validation of Genetic Algorithm Based Optimal Sampling for Ocean Data Assimilation. Ocean Dynamics. 66: 1209-1229. doi:10.1007/s10236-016-0976-5.
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Subramani, D.N. and P.F.J. Lermusiaux, 2016. Energy-optimal Path Planning by Stochastic Dynamically Orthogonal Level-Set Optimization. Ocean Modeling, 100, 57–77. DOI: 10.1016/j.ocemod.2016.01.006
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Lermusiaux P.F.J, T. Lolla, P.J. Haley. Jr., K. Yigit, M.P. Ueckermann, T. Sondergaard and W.G. Leslie, 2016. Science of Autonomy: Time-Optimal Path Planning and Adaptive Sampling for Swarms of Ocean Vehicles. Chapter 21, Springer Handbook of Ocean Engineering: Autonomous Ocean Vehicles, Subsystems and Control, Tom Curtin (Ed.), pp. 481-498. doi:10.1007/978-3-319-16649-0_21.
2015
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Subramani, D. N., Lolla, T., Haley Jr., P. J., Lermusiaux, P. F. J., 2015. A stochastic optimization method for energy-based path planning. In: Ravela, S., Sandu, A. (Eds.), DyDESS 2014. Vol. 8964 of LNCS. Springer, pp. 1–12.
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Lolla, T., P.J. Haley. Jr. and P.F.J. Lermusiaux, 2015. Path Planning in Multi-scale Ocean Flows: Coordination and Dynamic Obstacles. Ocean Modelling, 94, 46-66. doi:10.1016/j.ocemod.2015.07.013.
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Petillo, S., H. Schmidt, P.F.J. Lermusiaux, D. Yoerger and A. Balasuriya, 2015. Autonomous & Adaptive Oceanographic Front Tracking On Board Autonomous Underwater Vehicles. Proceedings of IEEE OCEANS'15 Conference, Genoa, Italy, 18-21 May, 2015.
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Cococcioni M., B. Lazzerini and P.F.J. Lermusiaux, 2015. Adaptive Sampling Using Fleets of Underwater Gliders in the Presence of Fixed Buoys using a Constrained Clustering Algorithm. Proceedings of IEEE OCEANS'15 Conference, Genoa, Italy, 18-21 May, 2015.
MIT Theses
- Bhabra, M.S., 2021. Harvest-Time Optimal Path Planning in Dynamic Flows. SM Thesis, Massachusetts Institute of Technology, Mechanical Engineering and Computational Science & Engineering, September 2021.
- Doshi, M, 2021. Energy-Time Optimal Path Planning in Strong Dynamic Flows. SM Thesis, Massachusetts Institute of Technology, Computational Science and Engineering, February 2021.
- Kulkarni, C.S., 2021. Prediction, Analysis, and Learning of Advective Transport in Dynamic Fluid Flows. PhD Thesis, Massachusetts Institute of Technology, Mechanical Engineering, February 2021.
- Lin, J., 2020. Minimum-Correction Second-Moment Matching: Theory, Algorithms and Applications. SM thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA, February 2020.
- Subramani, D., 2018. Probabilistic Regional Ocean Predictions: Stochastic Fields and Optimal Planning. Ph.D. Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering and Center for Computational Engineering, February 2018.
- Dutt, A., 2018. High order stochastic transport and Lagrangian data assimilation. SM thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA, February 2018.
- Kulkarni, C.S., 2017. Three-Dimensional Time-Optimal Path Planning in Dynamic and Realistic Environments. SM thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA, June 2017.
- Feppon, F., 2017. Riemannian Geometry of Matrix Manifolds for Lagrangian Uncertainty Quantification of Stochastic Fluid Flows. SM thesis, Massachusetts Institute of Technology, Center for Computational Engineering, Cambridge, MA, February 2017.
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Lolla, T., 2016. Path Planning and Adaptive Sampling in the Coastal Ocean. Ph.D. Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, February 2016.
- Wei, Q.J., 2015. Time-Optimal Path Planning in Uncertain Flow Fields Using Stochastic Dynamically Orthogonal Level Set Equations, B.S. Thesis, Massachusetts Institute of Technology, Dept. of Mechanical Engineering, June 2015.
- Subramani, D.N., 2014. Energy Optimal Path Planning Using Stochastic Dynamically Orthogonal Level Set Equations. SM Thesis, Massachusetts Institute of Technology, Computation for Design and Optimization Graduate Program, September 2014.
