In this paper, anti-synchronization of discrete chaotic system based on optimization algorithms are investigated. Different controllers have been used for anti-synchronization of two identical discrete chaotic systems. A proportional-integral-derivative (PID) control is used and its parameters is tuned by the four optimization algorithms, such as genetic algorithm (GA), particle swarm optimization (PSO), modified particle swarm optimization (MPSO) and improved particle swarm optimization (IPSO). Simulation results of these optimization methods to determine the PID controller parameters to anti-synchronization of two chaotic systems are compared. Numerical results show that the improved particle swarm optimization has the best result.
Adeli, Mahdieh and Zarabadipoor, Hassan
"Anti-synchronization of discrete-time chaotic systems using optimization algorithms,"
International Journal of Electronics Signals and Systems: Vol. 1
, Article 14.
Available at: https://www.interscience.in/ijess/vol1/iss2/14