In order to function reliably, synthetic molecular circuits require mechanisms that allow them to adapt to environmental disturbances. Least mean squares (LMS) schemes, such as commonly encountered in signal processing and control, provide a powerful means to accomplish that goal. In this paper we show how the traditional LMS algorithm can be implemented at the molecular level using only a few elementary biomolecular reactions. We demonstrate our approach using several simulation studies and discuss its relevance to synthetic biology.
A Molecular Implementation of the Least Mean Squares Estimator / Zechner, C; Khammash, M. - (2016), pp. 5869-5874. (Intervento presentato al convegno 2016 IEEE 55th Conference on Decision and Control (CDC) tenutosi a Las Vegas, NV, USA nel 12-14 December 2016) [10.1109/CDC.2016.7799172].
A Molecular Implementation of the Least Mean Squares Estimator
Zechner, C;
2016-01-01
Abstract
In order to function reliably, synthetic molecular circuits require mechanisms that allow them to adapt to environmental disturbances. Least mean squares (LMS) schemes, such as commonly encountered in signal processing and control, provide a powerful means to accomplish that goal. In this paper we show how the traditional LMS algorithm can be implemented at the molecular level using only a few elementary biomolecular reactions. We demonstrate our approach using several simulation studies and discuss its relevance to synthetic biology.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
