dc.contributor.author | Das, S | |
dc.contributor.author | Acharya, A | |
dc.contributor.author | Pan, I | |
dc.date.accessioned | 2018-01-19T14:52:11Z | |
dc.date.issued | 2014-03-16 | |
dc.description.abstract | Multi-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 and hence the complexity of the state time series for these multi-wing chaotic systems is much higher than that of the conventional double-wing chaotic attractors. A real-coded Genetic Algorithm (GA) based global optimization framework has been adopted in this paper as a common template for designing optimum Proportional-Integral-Derivative (PID) controllers in order to control the state trajectories of four different multi-wing chaotic systems among the Lorenz family viz. Lu system, Chen system, Rucklidge (or Shimizu Morioka) system and Sprott-1 system. Robustness of the control scheme for different initial conditions of the multi-wing chaotic systems has also been shown. | en_GB |
dc.identifier.citation | Vol. 100, pp. 72-87 | en_GB |
dc.identifier.doi | 10.1016/j.matcom.2014.03.002 | |
dc.identifier.uri | http://hdl.handle.net/10871/31100 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier for nternational Association for Mathematics and Computers in Simulation (IMACS) | en_GB |
dc.rights | Copyright © 2014 IMACS. Published by Elsevier Ltd. All rights reserved. | en_GB |
dc.subject | Chaos control | en_GB |
dc.subject | Chaotic nonlinear dynamical systems | en_GB |
dc.subject | Lorenz family | en_GB |
dc.subject | Multi-wing attractor | en_GB |
dc.subject | Optimum PID controller | en_GB |
dc.title | Simulation studies on the design of optimum PID controllers to suppress chaotic oscillations in a family of Lorenz-like multi-wing attractors | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2018-01-19T14:52:11Z | |
dc.description | This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record. | en_GB |
dc.identifier.journal | Mathematics and Computers in Simulation | en_GB |