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<record>
<title>Exogenous control of biological and ecological systems through 
evolutionary modelling</title>
<authors>
<author>Alessandro Ferrarini</author>
</authors>
<journal>Proceedings of the International Academy of Ecology and Environmental Sciences</journal>
<issn>ISSN 2220-8860</issn>
<homepage>http://www.iaees.org/publications/journals/piaees/online-version.asp</homepage>
<year>2013</year>
<volume>3</volume>
<issue>3</issue>
<startpage>257</startpage>
<endpage>265</endpage>
<date>09/2013</date>
<publisher>International Academy of Ecology and Environmental Sciences</publisher>
<keywords>
<keyword>external nodes</keyword>
<keyword>genetic algorithms</keyword>
<keyword>system control</keyword>
<keyword>system dynamics</keyword>
</keywords>
<abstract>
The controllability of network-like systems is a topical issue in ecology and biology. It relies on the ability to lead a system's behaviour towards the desired state through the appropriate handling of input variables. Up to now, controllability of networks is based on the permanent control of a set of driver nodes that can guide the system's dynamics. This assumption seems motivated by real-world networks observation, where a decentralized control is often applied only to part of the nodes. While in a previous paper I showed that ecological and biological networks can be efficaciously controlled from the inside, here I further introduce a new framework for network controllability based on the employment of exogenous controllers and evolutionary modelling, and provide an exemplification of its application.
</abstract>
<doi>DOI 10.0000/issn-2220-8860-piaees-2013-v3-0022</doi>
<url>http://www.iaees.org/publications/journals/piaees/articles/2013-3(3)/exogenous-control-of-biological-systems.pdf</url>
</record>
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