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An Adaptive Inertia Weight Particle Swarm Optimization Algorithm for IIR Digital Filter

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3 Author(s)
Xia Yu ; Key Lab. of Integrated Autom. of Process Ind. Minist. of Educ., Northeastern Univ., Shenyang, China ; Jianchang Liu ; Hongru Li

An adaptive inertia weight particle swarm optimization (AIW-PSO) algorithm was presented for designing IIR digital filter. In this algorithm, modified Versoria function was employed in the new relation of adaptive inertia weight factor function instead of Sigmoid function for avoiding the exponential computation and ensuring the small final misadjustment. Furthermore, the novel algorithm was well used in designing adaptive IIR digital filter about unknown system identification, and simulation results shown that the filter had more enhanced performance characteristics using the AIW-PSO algorithm and the complexity in calculation were improved greatly.

Published in:

Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on  (Volume:1 )

Date of Conference:

7-8 Nov. 2009