no code implementations • 13 Mar 2024 • Jiajun Shen, Fengjun Li, Morteza Hashemi, Huazhen Fang
In the swift evolution of Cyber-Physical Systems (CPSs) within intelligent environments, especially in the industrial domain shaped by Industry 4. 0, the surge in development brings forth unprecedented security challenges.
no code implementations • 25 Oct 2023 • Amir Farakhor, Di wu, Yebin Wang, Huazhen Fang
Since the number of clusters is much fewer than the number of cells, the proposed approach significantly reduces the computational costs, allowing optimal power management to scale up to large-scale BESS.
no code implementations • 12 Jan 2023 • Amir Farakhor, Di wu, Yebin Wang, Huazhen Fang
An optimal power management approach is developed to extensively exploit the merits of the proposed design.
no code implementations • 11 Nov 2022 • Nikhil Biju, Huazhen Fang
Advanced battery management is to lithium-ion battery systems as the brain is to the human body.
no code implementations • 12 Jul 2022 • Chuan Yan, Tao Yang, Huazhen Fang
Limited information availability represents a fundamental challenge for control of multi-agent systems, since an agent often lacks sensing capabilities to measure certain states of its own and can exchange data only with its neighbors.
no code implementations • 9 May 2022 • Iman Askari, Mulugeta A. Haile, Xuemin Tu, Huazhen Fang
The implicit particle filter seeks to mitigate particle degeneracy by identifying particles in the target distribution's high-probability regions.
1 code implementation • 9 May 2022 • Iman Askari, Shen Zeng, Huazhen Fang
Nonlinear model predictive control (NMPC) has gained widespread use in many applications.
no code implementations • 24 Dec 2021 • Hao Tu, Scott Moura, Yebin Wang, Huazhen Fang
This paper proposes two new frameworks to integrate physics-based models with machine learning to achieve high-precision modeling for LiBs.
no code implementations • 22 Mar 2021 • Hao Tu, Scott Moura, Huazhen Fang
Mathematical modeling of lithium-ion batteries (LiBs) is a central challenge in advanced battery management.