This paper develops a real-time control method based on deep reinforcement learning aimed to determine the optimal actions maintain sufficient secure operating limit. The limit refers most stressed pre-contingency point of an electric power system that can withstand set credible contingencies without violating stability criteria. developed uses hybrid scheme is capable simultaneously adjusting ...

We propose and analyze a self-adjusting Quality of Service (QoS) control scheme with the goal of optimizing the system reward as a result of servicing different priority clients with varying workload, QoS and reward/penalty requirements. Our scheme is based on resource partitioning and designated “degrade QoS areas” such that system resources are partitioned into priority areas each of which is...

When estimating causal effects from observational data, it is desirable to replicate a randomized experiment as closely as possible, for example, by obtaining treated and control groups with extremely similar distributions of observed covariates. This goal can often be achieved by choosing a subsample from the original control group that matches the treatment group on the distribution of these ...

This paper firstly established mathematical model of height adjusting hydro cylinder of the shearer, as well as the state space equation of the shearer height adjusting system. Secondly we designed a shearer automatic height adjusting controller adopting the sliding mode robustness control strategy. The height adjusting controller includes the sliding mode surface switching function based on Ac...