- This paper presents a neurologically inspired vergence control model that uses the optimization of the disparity error between interlaced cortical maps incident on the visual cor...
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Real-life systems are usually hard to control, due to their complicated structures, quantitative time factors and even stochastic behaviors. In this work, we present a model checke...
Songzheng Song, Jun Sun 0001, Yang Liu 0003, Jin S...
Rather recently object-oriented modeling languages, tools, and methods attract the interest of embedded (realtime) system developers. This is especially true if embedded (real-tim...
We build on work in designing modeling languages for hybrid systems in the development of CTA, the Cottbus Timed Automata. Our design features a facility to specify a hybrid system...