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IUTAM Symposium on Data-driven nonlinear  and stochastic dynamics with the control

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Objectives

During the last few decades, the area of nonlinear and stochastic dynamics has been evolving in a revolutionary way, with applications to a wide variety of engineering systems. With the development of data and computational science, data-driven problems of nonlinear and stochastic dynamic systems have aroused many scholars' widespread interest. This symposia is organized to collect and discuss recent advance of the data-driven methods in nonlinear and stochastic dynamics in order to promote the development of related fields. 

Topics
  • Data-driven modeling of nonlinear and stochastic dynamic systems

  • Data-driven for understanding, prediction and control of nonlinear stochastic dynamic systems

  • Data-driven identification of nonlinear and stochastic system

  • Inverse problems of data-driven nonlinear stochastic dynamic systems

  • Machine learning meets nonlinear stochastic systems

  • The theoretical framework of data-driven nonlinear stochastic systems

  • Analytical and numerical methods for data-driven nonlinear stochastic systems

  • Quantifying the stochasticity and complexity


Registration
Important Dates
Important Dates Important Dates
Commencement of Abstract Submission
2022-01-01
Submission of abstracts
2022-06-06
Registration Deadline
2022-06-06
Abstract Submission Deadline
2022-02-01
Commencement of Full Text Submission
2022-02-23
Full Text Submission Deadline
2022-03-23
Committee
  • Yong Xu,  Northwestern Polytechnical University

  • Juergen Kurths, Humboldt-University Berlin

  • Bala Balachandran, University of Maryland

  • Celso Grebogi, University of Aberdeen

  • Navaratnam Sri Namachchivaya, University of Waterloo

  • Stefano Lenci, University of Marche

  • Tomasz Kapitaniak , Lodz University of Technology


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Contact Us
Dan Zhao

     Email:dan_zhao@mail.nwpu.edu.cn
     Cellphone: +86-15735169250