引用本文: | 高江,戴冠中.非高斯系统的建模方法研究*[J].控制理论与应用,1997,14(6):803~808.[点击复制] |
GAO Jiang,DAI Guanzhong.On the Modeling of Non-Gaussian Systems[J].Control Theory and Technology,1997,14(6):803~808.[点击复制] |
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非高斯系统的建模方法研究* |
On the Modeling of Non-Gaussian Systems |
摘要点击 947 全文点击 441 投稿时间:1995-11-27 修订日期:1996-10-14 |
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DOI编号 |
1997,14(6):803-808 |
中文关键词 系统建模 高阶统计信息 似然函数 非高斯系统 |
英文关键词 system identification higher-order statistics likelihood function non-Gaussian system |
基金项目 |
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中文摘要 |
近年来,高阶统计信息理论广泛应用于非高斯系统的建模问题中,由于高阶统计信息方法特殊的信息结构,难以充分利用具体问题中的统计分布信息,从而对该方法的应用效果产生了影响。针对这一问题,本文提出一种综合应用刘阶统计信息理论与非高斯系统的似然函数指标的建模的方法,为在非高斯系统建模系统建模问题中充分利用问题所提供的统计信息提供了新的途径,仿真研究和应用取得了令人满意的效果. |
英文摘要 |
Higher-order statistics methods are widely used in the modelling of non-Gaussian systems inrecent years. Due to the specific information structure in the HOS methods,the statistical distribution information of the specific problems in applications can't be fully used. This problem has limited the application of HOS theory. To overcome this difficulty,a new method based on HOS and the maximum-likelihood index of the interested system is proposed in this paper. This provides a method to utilize the specific information in applications. Satisfactory results are obtained in simulations and applications. |