Aiming to reduce cycle time and improving the accuracy on tracking, a modified adaptive control was developed, which adapts autonomously to changing dynamic parameters. The platfor...
Fernando Ribeiro, Ivo Moutinho, Nino Pereira, Fern...
This paper presents a new approach for generating configured and flexible middleware systems for integration of heterogeneous and distributed data. The configuration is based on t...
Abstract. A wide range of microcomponents can today be produced using various microfabrication techniques. The assembly of complex microsystems consisting of several single compone...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
We present an approach to process scheduling for synthesis of safety-critical distributed embedded systems. Our system model captures both the flow of data and that of control. Th...