| 基于小波支持向量机的木材干燥控制技术研究 |
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| 引用本文： | 陈立生.基于小波支持向量机的木材干燥控制技术研究[J].自动化仪表,2011,32(4). |
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| 作者姓名： | 陈立生 |
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| 作者单位： | 东北林业大学机电工程学院,黑龙江哈尔滨,150040 |
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| 基金项目： | 教育部新世纪优秀人才支持计划基金资助项目 |
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| 摘 要： | 针对木材干燥系统强耦合非线性的特性,提出了一种基于小波最小二乘支持向量机的预测控制方法.讨论了利用小波支持向量机对木材干燥系统进行系统识别的方法,并将辨识模型应用于预测控制算法,实现了木材干燥的自适应控制.仿真结果表明,基于小波支持向量机的预测控制技术具有较好的鲁棒性,对木材干燥系统有很好的实用性.
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| 关 键 词： | 木材干燥 支持向量机 预测控制 模型 非线性 |
Study on the Timber Desiccation Control Technology Based on Wavelet Support Vector Machine |
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| Chen Lisheng.Study on the Timber Desiccation Control Technology Based on Wavelet Support Vector Machine[J].Process Automation Instrumentation,2011,32(4). |
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| Authors: | Chen Lisheng |
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| Abstract: | Aiming at the strongly coupling nonlinear characteristics of the timber desiccation system,the predictive control method based on wavelet least square support vector machine is proposed.The method of system identification for timber desiccation system by adopting wavelet support vector machine is discussed;and the identification model is applied in predictive control algorithm.The result of simulation indicates that this predictive control technology features better robustness,and is well practicable for ti... |
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| Keywords: | Timber desiccation Support vector machine(SVM) Predictive control Model Nonlinear |
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