noisyobservationbasedstabilizationandoptimizationforunknownsystems
文献类型：期刊论文
| 作者 | Chen Hanfu
|
| 刊名 | journalofsystemsscienceandcomplexity
 |
| 出版日期 | 2003 |
| 卷号 | 016期号:003页码:315 |
| ISSN号 | 1009-6124 |
| 英文摘要 | The paper addresses optimization of a performance function which either is optimized via stabilizing and controlling the underlying unknown system or is directly optimized on the basis of its noise-corrupted observations. For the first case the unknown system is identified and then the indirect adaptive control approach is applied to optimize the performance function. For the second case the stochastic approximation method is used to optimize the objective function, and it appears that a number of problems arising from applications may be reduced to the one solvable by this approach. The paper demonstrates some basic results in the area, but with no intention to give a complete survey. |
| 语种 | 英语 |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/49305]  |
| 专题 | 系统科学研究所 |
| 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 | Chen Hanfu. noisyobservationbasedstabilizationandoptimizationforunknownsystems[J]. journalofsystemsscienceandcomplexity,2003,016(003):315. |
| APA | Chen Hanfu.(2003).noisyobservationbasedstabilizationandoptimizationforunknownsystems.journalofsystemsscienceandcomplexity,016(003),315. |
| MLA | Chen Hanfu."noisyobservationbasedstabilizationandoptimizationforunknownsystems".journalofsystemsscienceandcomplexity 016.003(2003):315. |
入库方式： OAI收割
来源：数学与系统科学研究院
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