| 基于系统补偿和遗传算法的动态测量方法 |
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| 引用本文： | 边润强,陈增强,袁著祉. 基于系统补偿和遗传算法的动态测量方法[J]. 控制理论与应用, 2000, 17(4): 548-552 |
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| 作者姓名： | 边润强 陈增强 袁著祉 |
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| 作者单位： | 1. 天津理工学院自动化系,天津,300191
2. 南开大学计算机与系统科学系,天津,300071 |
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| 基金项目： | 国家 8 63CIMS应用基础研究基金!( 863 -5 11-945 -0 10 )，天津市自然科学基金!( 973 60 0 3 11) |
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| 摘 要： | 提出一种基于系统补偿和遗传算法的动态测量方法，该方法无需事先已知系统的动态特性，可根据系统阶跃响应的实测数据，采用遗传算法搜索和优化系统补偿参数，并通过系统补偿预测系统的稳态值，达到动态测量的目的。对遗传算法的交换和变异操作做了改进。
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| 关 键 词： | 遗传算法 系统补偿 动态测量 工业测量 |
| 修稿时间： | 1998-12-14 |
System Compensation and Genetic Algorithm Based Approach for Dynamic Measurement |
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| BIAN Runqiang,CHEN Zengqiang,YUAN Zhuzhi. System Compensation and Genetic Algorithm Based Approach for Dynamic Measurement[J]. Control Theory & Applications, 2000, 17(4): 548-552 |
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| Authors: | BIAN Runqiang CHEN Zengqiang YUAN Zhuzhi |
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| Abstract: | An approach for dynamic measurement based on system compensation and genetic algorithm is presented. With this approach a dynamic measurement can be realized without knowing the dynamic characteristics of a system, while it is able to prognosticate the stable value of the system by genetic algorithm research, compensation parameter optimization and system compensation according to the measurement data of the step response of the system. And the operator of cross over and mutation for GA is improved. |
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| Keywords: | genetic algorithm system compensation dynamic measurement parameter optimization |
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