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利用外点罚函数和粒子群算法实现模型最优降阶 被引量:3

Optimal order-reduction of model based on particle swarm optimization and penalty function
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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。 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.
出处 《电光与控制》 北大核心 2007年第4期92-93,112,共3页 Electronics Optics & Control
关键词 粒子群算法 模型降阶 惩罚函数 particle swarm optimization model order reducing penalty function
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