nonparametricapproachtoidentifyingnarxsystems
文献类型：期刊论文
| 作者 | Qijiang SONG; HanFu CH1N |
| 刊名 | journalofsystemsscienceandcomplexity
 |
| 出版日期 | 2010 |
| 卷号 | 000期号:001页码:3 |
| ISSN号 | 1009-6124 |
| 英文摘要 | This paper considers identification of the nonlinear autoregression with exogenous inputs （NARX system）. The growth rate of the nonlinear function is required be not faster than linear with slope less than one. The value of f（·） at any fixed point is recursively estimated by the stochastic approximation （SA） algorithm with the help of kernel functions. Strong consistency of the estimates is established under reasonable conditions, which, in particular, imply stability of the system. The numerical simulation is consistent with the theoretical analysis. |
| 语种 | 英语 |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/37333]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 作者单位 | 中国科学院数学与系统科学研究院 |
| 推荐引用方式 GB/T 7714 | Qijiang SONG,HanFu CH1N. nonparametricapproachtoidentifyingnarxsystems[J]. journalofsystemsscienceandcomplexity,2010,000(001):3. |
| APA | Qijiang SONG,&HanFu CH1N.(2010).nonparametricapproachtoidentifyingnarxsystems.journalofsystemsscienceandcomplexity,000(001),3. |
| MLA | Qijiang SONG,et al."nonparametricapproachtoidentifyingnarxsystems".journalofsystemsscienceandcomplexity 000.001(2010):3. |
入库方式： OAI收割
来源：数学与系统科学研究院
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