Task period adaptations are often used to alleviate temporal overload conditions in real-time systems. Existing frameworks assume that only task periods are adjustable and that ta...
Thidapat Chantem, Xiaofeng Wang, Michael D. Lemmon...
Hierarchical production planning provides a formal bridge between long-term plans and short-term schedules. A hybrid simulation-based production planning architecture consisting o...
Jayendran Venkateswaran, Young-Jun Son, Albert Jon...
Today there is a significant body of results of resource management in real-time systems. However, most of them are based on "open-loop" strategies and techniques that do...
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
This paper proposes a distributed coordination algorithm for robotic sensor networks to detect boundaries that separate areas of abrupt change of spatial phenomena. We consider an ...