— This paper considers the application of the neural networks for the guaranteed cost control problem of discrete– time uncertain systems that have in both state and input dela...
—This research focuses on development of a haptic system to create controlled air flow acting on a user in the Treadport virtual environment. The Treadport Active Wind Tunnel (TP...
Sandip D. Kulkarni, Mark A. Minor, Mark W. Deaver,...
Abstract— This paper addresses a novel approach to the nvehicle collision avoidance problem. The vehicle model used is a planar unicycle, chosen for its wide applicability to gro...
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
This paper proposes a method for the stabilization of vehicle formations in the plane under a fixed, but not necessarily complete, sensing graph. In this method each agent acts to ...