Data-driven complex dynamics - presented by Professor Bala Balachandran

Data-driven complex dynamics

Professor Bala Balachandran

Professor Bala Balachandran

Associated Nonlinear Dynamics article

R. Wang et al. (2019) Neural machine-based forecasting of chaotic dynamics. Nonlinear Dynamics
View on publisher site
Article of record
Data-driven complex dynamics
Professor Bala Balachandran
Bala Balachandran
University of Maryland, College Park

With the availability of extensive data from simulations and laboratory and field experiments, data-driven dynamics is playing a key role in understanding the behavior of complex systems. Different examples ranging from rogue waves in the ocean to unmanned air vehicles will be used to illustrate how data can be used to build models to predict as well as forecast complex dynamics.

References
  • 1.
    R. Wang et al. (2019) Neural machine-based forecasting of chaotic dynamics. Nonlinear Dynamics
  • 2.
    X. Liu et al. (2020) COVID-19: data-driven dynamics, statistical and distributed delay models, and observations. Nonlinear Dynamics
Nonlinear Dynamics, an International Journal of Nonlinear Dynamics and Chaos in Engineering Systems logo
Nonlinear Dynamics
Nonlinear Dynamics, an International Journal of Nonlinear Dynamics and Chaos in Engineering Systems
Cite as
B. Balachandran (2023, May 3), Data-driven complex dynamics
DOI
doi.org/10.52843/cassyni.gqc4rr
Export
Citations
Share
Timestamped permalink
Details
Listed seminar This seminar is open to all
Recorded Available to all
Video length 38:25
Q&A Now closed
Disclaimer The views expressed in this seminar are those of the speaker and not necessarily those of the journal