Identification of the transfer function for dual-rate system based on IPSO
This paper proposes that the dual-rate system is transformed from a lifted state-space model to the difference equation of transfer function. An improved particle swarm optimization (IPSO) algorithm is presented to estimate the transfer function's parameters. Comparing the simulation results wi...
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Published in | 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO) pp. 1365 - 1371 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.12.2009
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Subjects | |
Online Access | Get full text |
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Summary: | This paper proposes that the dual-rate system is transformed from a lifted state-space model to the difference equation of transfer function. An improved particle swarm optimization (IPSO) algorithm is presented to estimate the transfer function's parameters. Comparing the simulation results with a recursive least squares (RLS) the algorithms of IPSO estimates parameters in different signal to noise ratio (SNR). Simulation results show that identification of IPSO has better stability and robust than one of RLS. |
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ISBN: | 9781424447749 1424447747 |
DOI: | 10.1109/ROBIO.2009.5420807 |