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noisyobservationbasedstabilizationandoptimizationforunknownsystems
Chen Hanfu
2003
Source Publicationjournalofsystemsscienceandcomplexity
ISSN1009-6124
Volume016Issue:003Pages:315
AbstractThe 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.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/49306
Collection系统科学研究所
Affiliation中国科学院数学与系统科学研究院
Recommended Citation
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.
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