Optimum PID Control of Multi-wing Attractors in A Family of Lorenz-like Chaotic Systems
Institute of Electrical and Electronics Engineers (IEEE)
© 2012 IEEE
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 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.
This is the author accepted manuscript. The final version is available from IEEE via the DOI in this record.
2012 Third International Conference on Computing Communication & Networking Technologies (ICCCNT), Coimbatore, India, 26-28 July 2012