In this paper we propose an embedded software design flow, which starts from an UML model and provides automatic mapping to other models like Simulink or finite-state machines (FS...
Lisane B. de Brisolara, Marcio F. da S. Oliveira, ...
This paper investigates the use of reinforcement learning in electric power system emergency control. The approach consists of using numerical simulations together with on-policy M...
Advances in scheduling theory have given designers of control systems greater flexibility over their choice of timing requirements. This could lead to systems becoming more respon...
Intelligent connected devices become a more vital part of our lives. In contrast to prior years, today embedded systems and devices are loosely coupled and cooperate with each oth...
It is challenging to support the timeliness of realtime data service requests in data-intensive real-time applications such as online auction or stock trading, while maintaining t...