noisyobservationbasedstabilizationandoptimizationforunknownsystems

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	noisyobservationbasedstabilizationandoptimizationforunknownsystems
	Chen Hanfu
	2003
发表期刊	journalofsystemsscienceandcomplexity
ISSN	1009-6124
卷号	016 期号:003 页码:315
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
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/49306
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.