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2020 – today
- 2026
[j3]Amir Farakhor
, Iman Askari, Di Wu, Yebin Wang, Huazhen Fang:
Optimal Power Management for Large-Scale Battery Energy Storage Systems via Bayesian Inference. IEEE Trans. Control. Syst. Technol. 34(1): 231-246 (2026)- [i11]Hao Tu, Jackson Fogelquist, Iman Askari, Xinfan Lin, Yebin Wang, Shiguang Deng, Huazhen Fang:
Accelerating Bayesian Optimization for Nonlinear State-Space System Identification with Application to Lithium-Ion Batteries. CoRR abs/2603.25840 (2026) - 2025
- [j2]Iman Askari, Ali Vaziri, Xuemin Tu, Shen Zeng, Huazhen Fang:
Model Predictive Inferential Control of Neural State-Space Models for Autonomous Vehicle Motion Planning. IEEE Trans. Robotics 41: 3202-3222 (2025) - [c7]Ali Vaziri, Iman Askari, Huazhen Fang:
Bayesian Inferential Motion Planning Using Heavy-Tailed Distributions. ACC 2025: 395-401 - [c6]Maulik Bhatt, Iman Askari, Yue Yu, Ufuk Topcu, Huazhen Fang, Negar Mehr:
MultiNash-PF: A Particle Filtering Approach for Computing Multiple Local Generalized Nash Equilibria in Trajectory Games. IROS 2025: 12442-12449 - [i10]Amir Farakhor, Iman Askari, Di Wu, Yebin Wang, Huazhen Fang:
Optimal Power Management for Large-Scale Battery Energy Storage Systems via Bayesian Inference. CoRR abs/2503.02866 (2025) - [i9]Ali Vaziri, Iman Askari, Huazhen Fang:
Bayesian Inferential Motion Planning Using Heavy-Tailed Distributions. CoRR abs/2503.22030 (2025) - [i8]Iman Askari, Yebin Wang, Vedeng M. Deshpande, Huazhen Fang:
Motion Planning for Autonomous Vehicles: When Model Predictive Control Meets Ensemble Kalman Smoothing. CoRR abs/2505.06666 (2025) - [i7]Amir Farakhor, Iman Askari, Di Wu, Huazhen Fang:
Optimal Power Management of Battery Energy Storage Systems via Ensemble Kalman Inversion. CoRR abs/2507.09755 (2025) - 2024
- [c5]Amir Farakhor, Iman Askari, Di Wu, Huazhen Fang:
Optimal Power Management of Battery Energy Storage Systems via Ensemble Kalman Inversion. ACC 2024: 687-694 - [c4]Iman Askari, Yebin Wang, Vedang M. Deshpande, Huazhen Fang:
Motion Planning for Autonomous Vehicles: When Model Predictive Control Meets Ensemble Kalman Smoothing. ACC 2024: 1329-1334 - [i6]Maulik Bhatt, Iman Askari, Yue Yu, Ufuk Topcu, Huazhen Fang, Negar Mehr:
MultiNash-PF: A Particle Filtering Approach for Computing Multiple Local Generalized Nash Equilibria in Trajectory Games. CoRR abs/2410.05554 (2024) - 2023
- [i5]Iman Askari, Xumein Tu, Shen Zeng, Huazhen Fang:
Model Predictive Inferential Control of Neural State-Space Models for Autonomous Vehicle Motion Planning. CoRR abs/2310.08045 (2023) - 2022
- [j1]Iman Askari, Mulugeta A. Haile, Xuemin Tu, Huazhen Fang:
Implicit particle filtering via a bank of nonlinear Kalman filters. Autom. 145: 110469 (2022) - [c3]Iman Askari, Babak Badnava, Thomas Woodruff, Shen Zeng, Huazhen Fang:
Sampling-Based Nonlinear MPC of Neural Network Dynamics with Application to Autonomous Vehicle Motion Planning. ACC 2022: 2084-2090 - [i4]Iman Askari, Shen Zeng, Huazhen Fang:
Nonlinear Model Predictive Control Based on Constraint-Aware Particle Filtering/Smoothing. CoRR abs/2205.04497 (2022) - [i3]Iman Askari, Babak Badnava, Thomas Woodruff, Shen Zeng, Huazhen Fang:
Sampling-Based Nonlinear MPC of Neural Network Dynamics with Application to Autonomous Vehicle Motion Planning. CoRR abs/2205.04506 (2022) - [i2]Iman Askari, Mulugeta A. Haile, Xuemin Tu, Huazhen Fang:
Implicit Particle Filtering via a Bank of Nonlinear Kalman Filters. CoRR abs/2205.04521 (2022) - [i1]Thomas Woodruff, Iman Askari, Guanghui Wang, Huazhen Fang:
Model Predictive Control of Nonlinear Latent Force Models: A Scenario-Based Approach. CoRR abs/2207.13872 (2022) - 2021
- [c2]Iman Askari, Shen Zeng, Huazhen Fang:
Nonlinear Model Predictive Control Based on Constraint-Aware Particle Filtering/Smoothing. ACC 2021: 3532-3537 - [c1]Thomas Woodruff, Iman Askari, Guanghui Wang, Huazhen Fang:
Model Predictive Control of Nonlinear Latent Force Models: A Scenario-Based Approach. ICRA 2021: 7365-7371
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