Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
This paper aims at describing the architectural model of an adaptive force-feedback for a By Wire steering wheel system. This solution uses a steering wheel to replicate the reacti...
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
This paper presents a novel methodology to develop scheduling algorithms. The scheduling problem is phrased as a control problem, and control-theoretical techniques are used to de...
Carlo A. Furia, Alberto Leva, Martina Maggio, Paol...
To address performance limitations and expand their applications range, emerging and mature display technologies rely on the design of novel display controllers. Under current mod...
David Antonio-Torres, Paul F. Newbury, Paul F. Lis...