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[01582] Parameter Estimation in Mathematical Models Using Uncertainty and Sensitivity Analyses

  • Session Time & Room : 4C (Aug.24, 13:20-15:00) @G301
  • Type : Contributed Talk
  • Abstract : The accurate estimation of uncertain parameters in a mathematical model is still considered a laborious task. We propose a systematic methodology based on uncertainty and sensitivity analyses framework applied on a dynamic population balance model representing a crystallization process for the precise estimation of model parameters. For models involving many uncertain parameters, the proposed strategy can be adopted to rank parameters by their decreasing importance and then achieve precise estimation of the more significant parameters.
  • Classification : 00A71, 81S07, 93B35, Parameter Uncertainty, Uncertainty Quantification, Sensitivity Analysis, Population Balance Models
  • Format : Online Talk on Zoom
  • Author(s) :
    • PRIYANKA SEHRAWAT (Indian Institute of Technology Kharagpur)
    • Priyanka Sehrawat (Indian Institute of Technology Kharagpur)
    • Debasis Sarkar (Indian Institute of Technology Kharagpur)
    • Jitendra Kumar (Indian Institute of Technology Ropar)