We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...
This paper presents a simple but effective tuning strategy for robust static output feedback (SOF) controllers with minimal quadratic cost in the context of multiple parametric un...
s using Approximately Bisimilar Abstractions: Time-Optimal Control Problems Antoine Girard In this paper, we present a hierarchical approach to time-optimal control using approxima...
Image synthesis algorithms are commonly compared on the basis of running times and/or perceived quality of the generated images. In the case of Monte Carlo techniques, assessment ...
The multiple-supply voltage (MSV) design style has been extensively applied to mitigate dynamic-power consumption. The MSV design paradigm, however, brings many crucial challenges...