The motor system can be considered at three levels: motor behaviour, limb mechanics and neural control. Although our understanding at each level continues to grow, linking these levels into a cohesive ...

Deep reinforcement learning (DRL) is applied to control a nonlinear, chaotic system governed by the one-dimensional Kuramoto–Sivashinsky (KS) equation. DRL uses reinforcement learning principles for ...

We study mathematically and computationally optimal control problems for stochastic partial differential equations with Neumann boundary conditions. The control objective is to minimize the ...

This graduate level survey course will cover the physiological elements within the vertebrate motor system and the computational problems intrinsic to the production of movement. We will cover the ...

Research in dynamics includes theoretical, computational and experimental research in the general area of dynamical systems, dynamics and vibrations, dynamics of flexible bodies, high-dimensional ...

June 2, 2010 – Reston, Va. – The Guggenheim Board of Award is pleased to announce that the 2010 Daniel Guggenheim Medal has been won by Arthur E. Bryson, professor emeritus of aeronautics and ...