Iman Askari

Orcid: 0000-0002-2787-554X

According to our database1, Iman Askari authored at least 14 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Accelerating Bayesian Optimization for Nonlinear State-Space System Identification with Application to Lithium-Ion Batteries.
CoRR, March, 2026

Optimal Power Management for Large-Scale Battery Energy Storage Systems via Bayesian Inference.
IEEE Trans. Control. Syst. Technol., January, 2026

2025
Motion Planning for Autonomous Vehicles: When Model Predictive Control Meets Ensemble Kalman Smoothing.
CoRR, May, 2025

Model Predictive Inferential Control of Neural State-Space Models for Autonomous Vehicle Motion Planning.
IEEE Trans. Robotics, 2025

MultiNash-PF: A Particle Filtering Approach for Computing Multiple Local Generalized Nash Equilibria in Trajectory Games.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Bayesian Inferential Motion Planning Using Heavy-Tailed Distributions.
Proceedings of the 2025 American Control Conference, 2025

2024
Optimal Power Management of Battery Energy Storage Systems via Ensemble Kalman Inversion.
Proceedings of the American Control Conference, 2024

Motion Planning for Autonomous Vehicles: When Model Predictive Control Meets Ensemble Kalman Smoothing.
Proceedings of the American Control Conference, 2024

2023
Model Predictive Inferential Control of Neural State-Space Models for Autonomous Vehicle Motion Planning.
CoRR, 2023

2022
Implicit Particle Filtering via a Bank of Nonlinear Kalman Filters.
CoRR, 2022

Implicit particle filtering <i>via</i> a bank of nonlinear Kalman filters.
Autom., 2022

Sampling-Based Nonlinear MPC of Neural Network Dynamics with Application to Autonomous Vehicle Motion Planning.
Proceedings of the American Control Conference, 2022

2021
Model Predictive Control of Nonlinear Latent Force Models: A Scenario-Based Approach.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Nonlinear Model Predictive Control Based on Constraint-Aware Particle Filtering/Smoothing.
Proceedings of the 2021 American Control Conference, 2021


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