Controlling non-affine non-linear systems is a challenging problem in control theory. In this paper, we consider adaptive neural control of a completely non-affine pure-feedback s...
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
This paper proposes the Frequency Modulation Neural Network as an alternative to current neuralnet models. This proposal is for an architecture of a heterogeneous neural-network i...
We propose to use mobile phones carried by people in their everyday lives as mobile sensors to track mobile events. We argue that sensor-enabled mobile phones are best suited to de...
Gahng-Seop Ahn, Mirco Musolesi, Hong Lu, Reza Olfa...
— Neuromorphic motion sensors are attractive for use on battery powered robots which require a low payload. Their features include low power consumption, continuous computation, ...
Lukas Reichel, David Liechti, Karl Presser, Shih-C...