A new design method for adaptive IIR system identi?cation using hybrid CPSO and DE

Adaptive in?nite impulse response ?lters have received much attention due to its utilization in a wide range of real-world applications. The design of the IIR ?lters poses a typically nonlinear, non- differentiable and multimodal problem in the estima- tion of the coef?cient parameters. The aim of the cur- rent study is the application of a novel hybrid opti- mization technique based on the combination of cellu- lar particle swarm optimization and differential evolu- tion called CPSO?DE for the optimal parameter esti- mation of IIR ?lters. DE is used as the evolution rule of the cellular part in CPSO to improve the perfor- mance of the original CPSO. Benchmark IIR systems commonly used in the specialized literature have been selected for tuning the parameters and demonstrating the effectiveness of the CPSO?DE method. T