| 利用外点罚函数和粒子群算法实现模型最优降阶 |
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| 引用本文： | 姜立强,郭铮,刘光斌.利用外点罚函数和粒子群算法实现模型最优降阶[J].电光与控制,2007,14(4):92-93,112. |
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| 作者姓名： | 姜立强 郭铮 刘光斌 |
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| 作者单位： | 第二炮兵工程学院,西安,710025 |
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| 摘 要： | 将外点罚函数和粒子群算法应用于模型最优降阶,采用新的低阶模型,提出了解决低阶模型稳定性问题的有效方法.典型例子的仿真验证了本方法的可行性和有效性.
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| 关 键 词： | 粒子群算法 模型降阶 惩罚函数 |
| 文章编号： | 1671-637X（2007）04-0092-02 |
| 修稿时间： | 2006-06-232006-09-04 |
Optimal order- reduction of model based on particle swarm optimization and penalty function |
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| JIANG Li-qiang,GUO Zheng,LIU Guang-bin.Optimal order- reduction of model based on particle swarm optimization and penalty function[J].Electronics Optics & Control,2007,14(4):92-93,112. |
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| Authors: | JIANG Li-qiang GUO Zheng LIU Guang-bin |
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| Abstract: | Particle swarm optimization and outer point penalty function are applied for optimal model order reduction. A new low- order model is used, and an effective new method is put forward for solving the stability problem of the low - order models. Typical simulations show the feasibility and effectiveness of the proposed method. |
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| Keywords: | particle swarm optimization model order reducing penalty function |
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