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Synthetic Biology underpins advances in the bioeconomy

Biological systems - including the simplest cells - exhibit a broad range of functions to thrive in their environment. Research in the Imperial College Centre for Synthetic Biology is focused on the possibility of engineering the underlying biochemical processes to solve many of the challenges facing society, from healthcare to sustainable energy. In particular, we model, analyse, design and build biological and biochemical systems in living cells and/or in cell extracts, both exploring and enhancing the engineering potential of biology. 

As part of our research we develop novel methods to accelerate the celebrated Design-Build-Test-Learn synthetic biology cycle. As such research in the Centre for Synthetic Biology highly multi- and interdisciplinary covering computational modelling and machine learning approaches; automated platform development and genetic circuit engineering ; multi-cellular and multi-organismal interactions, including gene drive and genome engineering; metabolic engineering; in vitro/cell-free synthetic biology; engineered phages and directed evolution; and biomimetics, biomaterials and biological engineering.



BibTex format

author = {Yuan, Y and Rai, A and Yeung, E and Stan, G-B and Warnick, S and Goncalves, J},
doi = {10.1109/TCNS.2015.2498468},
pages = {301--311},
title = {A Minimal Realization Technique for the Dynamical Structure Function of a Class of LTI Systems},
url = {},
volume = {4},
year = {2015}

RIS format (EndNote, RefMan)

AB - The dynamical structure function of a linear time invariant (LTI) system reveals causal dependencies among manifest variables without specifying any particular relationships among the unmeasured states of the system. As such, it is a useful representation for complex networks where a coarse description of global system structure is desired without detailing the intricacies of a full state realization. In this paper, we consider the problem of finding a minimal state realization for a given dynamical structure function. Interestingly, some dynamical structure functions require uncontrollable modes in their state realizations to deliver the desired input-output behavior while respecting a specified system structure. As a result, the minimal order necessary to realize a particular dynamical structure function may be greater than that necessary to realize its associated transfer function. Although finding a minimal realization for a given dynamical structure function is difficult in general, we present a straightforward procedure here that works for a simplified class of systems.
AU - Yuan,Y
AU - Rai,A
AU - Yeung,E
AU - Stan,G-B
AU - Warnick,S
AU - Goncalves,J
DO - 10.1109/TCNS.2015.2498468
EP - 311
PY - 2015///
SN - 2325-5870
SP - 301
TI - A Minimal Realization Technique for the Dynamical Structure Function of a Class of LTI Systems
UR -
UR -
UR -
VL - 4
ER -