| 输出概率密度函数形状的多步预测控制 |
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| 引用本文： | 王宏, 张金芳, 岳红. 输出概率密度函数形状的多步预测控制. 自动化学报, 2005, 31(2): 274-279. |
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| 作者姓名： | 王宏 张金芳 岳红 |
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| 作者单位： | 1.Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, P.R.China |
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| 摘 要： | A predictive control strategy is proposed for the shaping of the output probability density function (PDF) of linear stochastic systems. The B-spline neural network is used to set up the output PDF model and therefore converts the PDF-shaping into the control of B-spline weights vector. The Diophantine equation is then introduced to formulate the predictive PDF model, based on which a moving-horizon control algorithm is developed so as to realize the predictive PDF tracking performance.
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| 关 键 词： | Probability density function (PDF) predictive control B-spline functions stochastic distribution control |
| 收稿时间： | 2003-03-14 |
| 修稿时间： | 2004-09-19 |
Multi-step Predictive Control of a PDF-shaping Problem |
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| WANG Hong, ZHANG Jin-Fang, YUE Hong. Multi-step Predictive Control of a PDF-shaping Problem. ACTA AUTOMATICA SINICA, 2005, 31(2): 274-279. |
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| Authors: | WANG Hong Zhang Jin-fang YUE Hong |
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| Affiliation: | 1. Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, P.R.China |
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| Abstract: | A predictive control strategy is proposed for the shaping of the output probability density function (PDF) of linear stochastic systems. The B-spline neural network is used to set up the output PDF model and therefore converts the PDF-shaping into the control of B-spline weights vector. The Diophantine equation is then introduced to formulate the predictive PDF model, based on which a moving-horizon control algorithm is developed so as to realize the predictive PDF tracking performance. |
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| Keywords: | Probability density function (PDF) predictive control B-spline functions stochastic distribution control |
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