| 基于多模型的最小偏差控制 |
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| 引用本文： | 刘轩黄. 基于多模型的最小偏差控制[J]. 江西电力职业技术学院学报, 2004, 17(3): 1-4 |
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| 作者姓名： | 刘轩黄 |
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| 作者单位： | 江西电力职业技术学院,江西,南昌,330032 |
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| 摘 要： | 应用多目标优化方法和严格的最小二乘递推算法,给出了使输出偏差极小化的基于多模型的最小偏差控制算法。同时建立多个模型,将那些预报误差相对较小的模型组成所谓容许模型组,并将各容许模型的最小偏差控制的加权平均取作所需的控制(或曰输入),而将那些预报误差较大的模型重新初始化。
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| 关 键 词： | 多目标优化 最小二乘 初始化 容许模型 加权平均 |
| 文章编号： | 1008-6862(2004)03-0001-(04) |
| 修稿时间： | 2003-09-10 |
Multimodel-Based Minimum Bias Control |
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| LIU Xuan-huang. Multimodel-Based Minimum Bias Control[J]. Journal of Jiangxi Vocational and Technical College of Electricity, 2004, 17(3): 1-4 |
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| Authors: | LIU Xuan-huang |
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| Abstract: | Using the multiobjective optimization method and rigorous recursive least square (R2LS) algorithm, this paper presents a multimodec-based minimum bias(MB) algorithm, which establishes several models simultaneously. Models with relatively small prediction erros are selected forms a group of acceptable models. The final control is chosen to be the weighted average of the MB control. Models with significant or large erros are reinitialized. |
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| Keywords: | multiobjective optimization least square reinitialize weighted average |
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