The paper presents some preliminary results on dynamic scheduling of model predictive controllers (MPCs). In an MPC, the control signal is obtained by on-line optimization of a co...
It is challenging to process transactions in a timely fashion using fresh data, e.g., current stock prices, since database workloads may considerably vary due to dynamic data/reso...
We describe and evaluate a system for learning domainspecific control knowledge. In particular, given a planning domain, the goal is to output a control policy that performs well ...
Quality of Service (QoS) is essential to datacenters, which requires effective schemes to manage the flows among numerous servers. However, existing management techniques mainly fo...
Baohua Yang, Guodong Li, Yaxuan Qi, Yibo Xue, Jun ...
— Feedback control laws have been traditionally treated as periodic tasks when implemented on digital platforms. However, the growing complexity of systems calls for efficient i...