| 基于径向基函数神经网络偏差补偿的预测函数控制 |
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| 引用本文： | 张彬,李平,陈红艳.基于径向基函数神经网络偏差补偿的预测函数控制[J].哈尔滨理工大学学报,2003,8(1):46-49,53. |
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| 作者姓名： | 张彬 李平 陈红艳 |
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| 作者单位： | 辽宁石油化工大学,信息工程学院,辽宁,抚顺,113001 |
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| 基金项目： | 教育部留学回国人员科研启动基金(教外司留[2002]247号) |
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| 摘 要： | 基于线性模型设计预测函数控制器，用径向基函数神经网络（RBFNN）来补偿由系统的非线性和外界干扰引起的预测误差，从而实现非线性系统的自适应预测函数控制。将该控制算法用于pH中和滴定过程，仿真实验表明该算法计算量小，控制效果好。
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| 关 键 词： | 径向基函数神经网络 偏差补偿 预测函数控制 动态补偿 非线性系统 仿真 线性模型 |
| 文章编号： | 1007-2683(2003)01-0046-04 |
Predictive Functional Control Based on Radial Based Function Neural Networks Deviation Compensation |
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| ZHANG Bin,LI Ping,CHEN Hong-yan.Predictive Functional Control Based on Radial Based Function Neural Networks Deviation Compensation[J].Journal of Harbin University of Science and Technology,2003,8(1):46-49,53. |
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| Authors: | ZHANG Bin LI Ping CHEN Hong-yan |
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| Abstract: | The design of predictive functional controller is based on the linear model, radial based function neural networks is used as the compensator to eliminate unmodelld dynamics and the existed disturbance, so the adaptive predictive functional control of the system is realized. The simulation experiment shows that the control algorithm is simple and efficient. |
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| Keywords: | predictive functional control (PFC) dynamic compensation radial based function neural networks(RBFNN) nonlinear system |
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