基于粒子群优化(PSO)算法的通用模型降阶技术

IEEE EUROCON 2017 -17th International Conference on Smart Technologies Pub Date : 2017-07-01 DOI:10.1109/EUROCON.2017.8011103

K. Salah

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引用次数: 4

摘要

针对高阶传递函数的模型降阶问题，提出了基于粒子群算法的模型降阶方法。我们的方法的主要优点是它是通用的，相对较少的时间和合理的准确性。此外，它保留了原始传递函数的时间和频率响应。

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A generic model order reduction technique based on Particle Swarm Optimization (PSO) algorithm

In this Paper, a Particle Swarm Optimization based solution is proposed to solve the problem of model order reduction for high order transfer functions. The main advantages of our approach are that it is generic, with relatively small time and reasonable accuracy. Moreover, it preserves both time and frequency responses of the original transfer function.

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IEEE EUROCON 2017 -17th International Conference on Smart Technologies

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