Adaptive Fuzzy-Lyapunov Controller Using Biologically Inspired Swarm Intelligence

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dc.contributor.authorCarrasco Elizalde, Alejandro
dc.contributor.authorGoldsmith, Peter
dc.date.accessioned2018-09-27T12:13:18Z
dc.date.available2018-09-27T12:13:18Z
dc.date.issued2008-01-01
dc.date.updated2018-09-27T12:13:17Z
dc.description.abstractThe collective behaviour of swarms produces smarter actions than those achieved by a single individual. Colonies of ants, flocks of birds and fish schools are examples of swarms interacting with their environment to achieve a common goal. This cooperative biological intelligence is the inspiration for an adaptive fuzzy controller developed in this paper. Swarm intelligence is used to adjust the parameters of the membership functions used in the adaptive fuzzy controller. The rules of the controller are designed using a computing-with-words approach called Fuzzy-Lyapunov synthesis to improve the stability and robustness of an adaptive fuzzy controller. Computing-with-words provides a powerful tool to manipulate numbers and symbols, like words in a natural language.
dc.description.versionPeer Reviewed
dc.identifier.citationAlejandro Carrasco Elizalde and Peter Goldsmith, “Adaptive Fuzzy-Lyapunov Controller Using Biologically Inspired Swarm Intelligence,” Applied Bionics and Biomechanics, vol. 5, no. 1, pp. 33-46, 2008. doi:10.1080/11762320802027869
dc.identifier.doihttps://doi.org/10.1080/11762320802027869
dc.identifier.urihttp://hdl.handle.net/1880/108522
dc.identifier.urihttps://doi.org/10.11575/PRISM/45437
dc.language.rfc3066en
dc.rights.holderCopyright © 2008 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.titleAdaptive Fuzzy-Lyapunov Controller Using Biologically Inspired Swarm Intelligence
dc.typeJournal Article

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