Abstract
Gene regulatory networks (GRNs) act as cell controllers; we argue that artificial models of GRNs should therefore make good controllers also. We present the first application of a model GRN to a substantial, well recognised control problem, using the Fractal Gene Regulatory Network model to control a range of versions of the single and jointed pole balancing problem. © 2010 Springer-Verlag.
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CITATION STYLE
Krohn, J., & Gorse, D. (2010). Fractal gene regulatory networks for control of nonlinear systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6239 LNCS, pp. 209–218). https://doi.org/10.1007/978-3-642-15871-1_22
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