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复杂系统的一种模型降阶方法 被引量:4

Approach to model reduction for complex systems
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摘要 为简化复杂系统控制器或观测器设计,提出一种模型降阶方法,根据线性系统包含原理的约束与聚集两类条件,采用平衡法与奇异值分解法相结合的联合降阶法,得到复杂系统的降阶模型。仿真结果表明,这种模型降阶方法是可行的。 In order to simplify the design of controller or observer for complex systems,a model reduction method was proposed.According to two types of restriction and aggregation conditions of the inclusion principle,a lower order model was obtained by a model descending way synthesized the balanced method and the singular value decomposition.Simulation results show that this method is feasible.
出处 《鞍山科技大学学报》 2005年第1期22-25,29,共5页 Journal of Anshan University of Science and Technology
关键词 包含原理 模型降阶 平衡法 奇异值分解法 inclusion principle model descending balanced method singular value decomposition
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参考文献5

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