8 papers
Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems
Zhanglin Shangguan, Wei Xiao, Bo Yang +1
This paper studies safe optimal output agreement for nonlinear multi-agent systems with output safety constraints. Existing safe feedback optimization methods often implement gradi…
Hierarchical Learning for IRS-Assisted MEC Systems with Rate-Splitting Multiple Access
Yinyu Wu, Xuhui Zhang, Yingchao Jiao +5
Intelligent reflecting surface (IRS)-assisted mobile edge computing (MEC) systems have shown notable improvements in efficiency, such as reduced latency, higher data rates, and bet…
Synthesizing Safety in Infinite-Horizon Optimal Control for Disturbed High-Relative-Degree Systems via Barrier-Regulating Auxiliary Variables
Zhanglin Shangguan, Wei Xiao, Qi Li +2
Optimal stabilization of safety-critical nonlinear systems requires balancing long-term performance and strict safety constraints. Existing quadratic-programming-based control barr…
UAV-Enabled Data Collection for IoT Networks via Rainbow Learning
Yingchao Jiao, Xuhui Zhang, Wenchao Liu +5
Unmanned aerial vehicles (UAVs) enabled Internet of things (IoT) systems have become an important part of future wireless communications. To achieve higher communication rate, the…
A Graph-Enhanced DeepONet Approach for Real-Time Estimating Hydrogen-Enriched Natural Gas Flow under Variable Operations
Sicheng Liu, Hongchang Huang, Bo Yang +3
Blending green hydrogen into natural gas presents a promising approach for renewable energy integration and fuel decarbonization. Accurate estimation of hydrogen fraction in hydrog…
Modeling, Prediction and Risk Management of Distribution System Voltages with Non-Gaussian Probability Distributions
Yuanhai Gao, Xiaoyuan Xu, Zheng Yan +3
High renewable energy penetration into power distribution systems causes a substantial risk of exceeding voltage security limits, which needs to be accurately assessed and properly…