4 citations · 4 across the 6 of their papers we have counts for
6 papers
KCES: A Workflow Containerization Scheduling Scheme Under Cloud-Edge Collaboration Framework
Chenggang Shan, Runze Gao, Qinghua Han +3
As more IoT applications gradually move towards the cloud-edge collaborative mode, the containerized scheduling of workflows extends from the cloud to the edge. However, given the…
Encrypted Data-driven Predictive Cloud Control with Disturbance Observer
Qiwen Li, Runze Gao, Yuanqing Xia
In data-driven predictive cloud control tasks, the privacy of data stored and used in cloud services could be leaked to malicious attackers or curious eavesdroppers. Homomorphic en…
Workflow-based Fast Data-driven Predictive Control with Disturbance Observer in Cloud-edge Collaborative Architecture
Runze Gao, Qiwen Li, Li Dai +2
Data-driven predictive control (DPC) has been studied and used in various scenarios, since it could generate the predicted control sequence only relying on the historical input and…
Cloud-based computational model predictive control using a parallel multi-block ADMM approach
Yaling Ma, Runze Gao, Li Dai +2
Heavy computational load for solving nonconvex problems for large-scale systems or systems with real-time demands at each sample step has been recognized as one of the reasons for…
Fast Subspace Identification Method Based on Containerised Cloud Workflow Processing System
Runze Gao, Yuanqing Xia, Guan Wang +2
Subspace identification (SID) has been widely used in system identification and control fields since it can estimate system models only relying on the input and output data by reli…
Design and Implementation of Data-driven Predictive Cloud Control System
Runze Gao, Yuanqing Xia, Li Dai +1
Nowadays, the rapid increases of the scale and complexity of the controlled plants bring new challenges such as computing power and storage for conventional control systems. Cloud…