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Artificial Raindrop Algorithm for Optimal Parameter Preference in Digital IIR Filters
2017
Advances in Modelling and Analysis C
The system identification of digital Infinite Impulse Response (IIR) filter, as a key knowledge domain, is an important research subject in the automatic control field. However, the error surface of digital IIR filter is usually nonlinear and multimodal, which makes the cost function rather difficult to minimize. Whilst some global optimization techniques such as metaheuristic algorithms are essential for avoiding local minima encountered in conventional IIR modeling mechanisms. In this paper,
doi:10.18280/ama_c.720202
fatcat:ture6bakk5ctvjqggn2v3nx2ju