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researcher

Seid H. Pourtakdoust

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • eess.SY1
ORCID 0000-0001-5717-6240

identity via Semantic Scholar / OpenAlex

activity
20222024
most citedA Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systems

25 citations · 38 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SY2024

Prediction-Based Control Barrier Functions for Input-Constrained Safety Critical Systems

Ali Mesbah, Seid H. Pourtakdoust, Alireza Sharifi +1

Control barrier functions (CBFs) have emerged as a popular topic in safety critical control due to their ability to provide formal safety guarantees for dynamical systems. Despite…

cs.LG2023★ 13 cited

Solution of FPK Equation for Stochastic Dynamics Subjected to Additive Gaussian Noise via Deep Learning Approach

Amir H. Khodabakhsh, Seid H. Pourtakdoust

The Fokker-Plank-Kolmogorov (FPK) equation is an idealized model representing many stochastic systems commonly encountered in the analysis of stochastic structures as well as many…

cs.LG2022★ 25 cited

A Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systems

Seid H. Pourtakdoust, Amir H. Khodabakhsh

Derivation of the probability density evolution provides invaluable insight into the behavior of many stochastic systems and their performance. However, for most real-time applica-…

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