.png){kind=icon}
返回
Inclined planes system optimization algorithm for IIR system identification
.png){kind=icon}
PRE
AI
DOI：10.1007/s13042-016-0588-x.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper the digital infinite impulse response (IIR) filter design is modeled as an optimization problem. A new design method based on inclined planes system optimization (IPO) is introduced for the IIR system identification. IPO is a heuristic technique based on the dynamics of sliding motion along a frictionless inclined surface that has been demonstrated the reliable performance in solving of engineering complex problems. The effectiveness of the proposed method is verified in presence of the additive noise. In this work, both actual and reduced order identification of few benchmarked IIR plants is carried out in the simulations. Newton's Mechanics-based, swarm intelligence based and conventional evolutionary algorithms are used to model the same examples and simulation results are evaluated. The final results clearly demonstrate the good performance and premier identification of the proposed method along with well-tuned other algorithms.
Keyword:
Heuristic algorithms
Inclined planes system optimization
IIR filter
System identification
Optimal solution
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.7
论文数:
3.2K
被引数:
5.6K
机构
引用论文
.png){kind=icon}
Distribution of GABAA and GABAB receptors in mammalian brain: Potential targets for drug development
OAAI
OAAI分享收藏The contribution of nano‐based strategies in overcoming ceftriaxone resistance: a literature reviewOAAI
OAAI分享收藏
查看更多内容