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基于物理模型的拟人智能控制 被引量:3

Human-Imitating Intelligent Control Based on Physical Model
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摘要 回顾了自动控制理论与智能控制的过去和现在,讨论了它们存在的问题,提出基于物理模型的拟人智能控制。通过介绍一个成功的实例"平面运动单级倒立摆"的控制来阐明拟人智能控制的机理以及设计控制律的流程。对于复杂的非线性被控对象,只要知道其物理模型,应用拟人智能控制方法可以得到很好的结果。 Based on the review of traditional control theories and some intelligent control theories, their limitations are discussed, then the human-imitating intelligent control method is presented which is based on the physical model. The mechanism of this method is explained and the procedure of designing the human-imitating control law is introduced through its successful application to stabilizing the two-degree-of-freedom single inverted pendulum. As for the complicated nonlinear objects, applying this human-imitating intelligent control method can achieve satisfactory results as long as the object's physical model is available.
作者 李诚 张明廉
出处 《航空学报》 EI CAS CSCD 北大核心 2004年第2期148-152,共5页 Acta Aeronautica et Astronautica Sinica
基金 国家自然科学基金(60074021) 教育部博士点基金(9722)资助项目
关键词 智能控制 归约 模糊控制 人工神经网络 Fuzzy control Models Neural networks Reduction
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参考文献9

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共引文献53

同被引文献15

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