Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of d...
This paper explores the experiment design to determine a human’s ability to discriminate the natural frequency of manually excited virtual dynamic systems. We use a one degree-o...
— This paper addresses the problem of generating optimal joint trajectories for redundant manipulators when multiple criteria are to be considered. A dynamic programming approach...
A. Guigue, Mojtaba Ahmadi, M. J. D. Hayes, R. Lang...
Abstract. We extend the hyperdynamics method developed for lowdimensional energy-dominated systems, to simulate slow dynamics in more general atomistic systems. We show that a few ...
- A dynamical neural model that is strongly biologically motivated is applied to learning and retrieving binary patterns. This neural network, known as Freeman’s Ksets, is traine...