◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

S. Pourtakdoust

8 papers hereh-index 201.2k citations126 works total

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

author position
  • first author2
  • middle author3
  • last author3

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • math.OC3
  • cs.LG2
  • eess.SY2
  • cs.RO1

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedA Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systems

25 citations · 78 across the 8 of their papers we have counts for

collaborators
Showing eess.SYShow all

2 papers · 1 filter

eess.SY2025★ 2 cited

A Deep Learning Density Shaping Model Predictive Gust Load Alleviation Control of a Compliant Wing Subjected to Atmospheric Turbulence

Seid H. Pourtakdoust, Amir H. Khodabakhsh

This study presents a novel deep learning approach aimed at enhancing stochastic Gust Load Alleviation (GLA) specifically for compliant wings. The approach incorporates the concept…

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…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.