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基于遗传编程的非单调非线性系统辨识 被引量:2

Non-monotone Non-linear System Recognition Based on Genetic Programming
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摘要 采用遗传编程方法解决非单调非线性系统的辨识问题。在对象的结构和参数未知的情况下 ,先进行参数恒定下的辨识 ,再进行在运行期间非线性环节参数发生变化的系统辨识。试验结果表明 :都能比较迅速地得出非线性部分直观的、近似的数学表达式。提出了今后进一步完善的几点设想。 Recognition of non-monotone non-linear system is resolved by adopting genetic programming method. For objects with unknown structure and parameters, the recognition with constant parameters is accomplished first. Then the system recognition during operation period is realized with varying non-linear element parameters. The result of the test shows that visual and approximate mathematical expressions of non-linear sections are all obtained rapidly. Key words Genetic programming Recognition Non-linear Groups Individual
作者 徐哲 白焰
出处 《自动化仪表》 CAS 北大核心 2003年第12期5-10,共6页 Process Automation Instrumentation
基金 教育部高等学校骨干教师资助计划资助项目
关键词 非单调非线性系统 遗传编程 系统辨识 群体 个体 Genetic programming Recognition Non-linear Groups Individual
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