The application of ameliorated chaos optimization algorithm in linear quadratic regulation

Gao Haiyan*, Wang Bo

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

An ameliorated chaos optimization algorithm was proposed in this paper, by searching in different space with different probability, which can overcome the shortcoming of losing the global optimal points owing to prematurely shrinking the searching space of the optimized variables. At last, the proposed method is applied to design weighting matrices for LQR controller. It also provides a brand-new way for optimization of LQR to choose the optimal solutions of weighing matrices. The simulation results proved the validity of the method.

源语言英语
主期刊名Proceedings of the International Symposium on Test and Measurement
1383-1386
页数4
出版状态已出版 - 2003

出版系列

姓名Proceedings of the International Symposium on Test and Measurement
2

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