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dc.contributor.authorAcharya, A
dc.contributor.authorDas, S
dc.contributor.authorPan, I
dc.date.accessioned2018-01-18T15:11:23Z
dc.date.issued2012-12-31
dc.description.abstractMulti-wing chaotic attractors are highly complex nonlinear dynamical systems with higher number of index-2 equilibrium points. Due to the presence of several equilibrium points, randomness of the state time series for these multi-wing chaotic systems is higher than that of the conventional double wing chaotic attractors. A real coded Genetic Algorithm (GA) based global optimization framework has been presented in this paper, to design optimum PID controllers so as to control the state trajectories of three different multi-wing Lorenz like chaotic systems viz. Lu, Rucklidge and Sprott-1 system.en_GB
dc.identifier.citation2012 Third International Conference on Computing Communication & Networking Technologies (ICCCNT), Coimbatore, India, 26-28 July 2012en_GB
dc.identifier.doi10.1109/ICCCNT.2012.6396002
dc.identifier.urihttp://hdl.handle.net/10871/31076
dc.language.isoenen_GB
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_GB
dc.rights© 2012 IEEEen_GB
dc.subjectPID controlleren_GB
dc.subjectchaos controlen_GB
dc.subjectchaotic nonlinear dynamical systemsen_GB
dc.subjectLorenz familyen_GB
dc.subjectmulti-wing attractoren_GB
dc.titleOptimum PID Control of Multi-wing Attractors in A Family of Lorenz-like Chaotic Systemsen_GB
dc.typeConference paperen_GB
dc.date.available2018-01-18T15:11:23Z
dc.descriptionThis is the author accepted manuscript. The final version is available from IEEE via the DOI in this record.en_GB


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