most citedDynamic fault detection and diagnosis for alkaline water electrolyzer with variational Bayesian Sparse principal component analysis

17 citations · 19 across the 8 of their papers we have counts for

collaborators

8 papers

eess.SY202417 cited

Dynamic fault detection and diagnosis for alkaline water electrolyzer with variational Bayesian Sparse principal component analysis

Qi Zhang, Weihua Xu, Lei Xie +1

Electrolytic hydrogen production serves as not only a vital source of green hydrogen but also a key strategy for addressing renewable energy consumption challenges. For the safe pr…

cs.LG20241 cited

Dynamic fault detection and diagnosis of industrial alkaline water electrolyzer process with variational Bayesian dictionary learning

Qi Zhang, Lei Xie, Weihua Xu +1

Alkaline Water Electrolysis (AWE) is one of the simplest green hydrogen production method using renewable energy. AWE system typically yields process variables that are serially co…

cs.LG20241 cited

Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control

Qi Zhang, Lei Wang, Weihua Xu +2

The accuracy of the underlying model predictions is crucial for the success of model predictive control (MPC) applications. If the model is unable to accurately analyze the dynamic…

cs.RO2024

GeoPro-VO: Dynamic Obstacle Avoidance with Geometric Projector Based on Velocity Obstacle

Jihao Huang, Xuemin Chi, Jun Zeng +2

Optimization-based approaches are widely employed to generate optimal robot motions while considering various constraints, such as robot dynamics, collision avoidance, and physical…

eess.SY2024

Chaotic Masking Protocol for Secure Communication and Attack Detection in Remote Estimation of Cyber-Physical Systems

Tao Chen, Andreu Cecilia, Daniele Astolfi +3

In remote estimation of cyber-physical systems (CPSs), sensor measurements transmitted through network may be attacked by adversaries, leading to leakage risk of privacy (e.g., the…

math.OC2024

Distributed Least-Squares Optimization Solvers with Differential Privacy

Weijia Liu, Lei Wang, Fanghong Guo +2

This paper studies the distributed least-squares optimization problem with differential privacy requirement of local cost functions, for which two differentially private distribute…