This paper gives two alternative off-line synthesis approaches to robust model predictive control (RMPC) for systems with polytopic description. In each approach, a sequence of ex...
BaoCang Ding, YuGeng Xi, Marcin T. Cychowski, Thom...
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
We propose a lightweight traffic admission control scheme based on on-line monitoring which ensures multimedia services quality both intra-domain and end-to-end. The AC strategy i...
Solange Rito Lima, Paulo Carvalho, Alexandre Santo...
Business processes have to adopt the changes driven by the market to remain competitive. This requires improvement of business processes, which can be carried out by understanding...
It is now commonly assumed that the human visual attention, which is a selecting process of the most relevant locations in a scene according to a particular behavior, is driven by...
Olivier Le Meur, Patrick Le Callet, Dominique Barb...