This study is concerned with the design of a digital Proportional Integral Derivative (PID) controller for synchronization of a continuous chaotic model. The Evolutionary Programming Algorithm (EPA) has been considered as a useful technique for finding global optimization solutions for certain complicated functions in recent years. Therefore, in this research, we attempt to use the EP algorithm in digital PID control design for deriving optimal or near optimal digital PID control gains such that a performance index between the master and slave Sprott chaotic circuits is minimized. A numerical and experimental result exemplifies the synchronization procedure.
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