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stochasticadaptiveswitchingcontrolbasedonmultiplemodels
Zhang Yanxia; Guo Lei
2002
Source Publicationjournalofsystemsscienceandcomplexity
ISSN1009-6124
Volume015Issue:001Pages:18
AbstractIt is well known that the transient behaviors of the traditional adaptive control may be very poor in general,and that the adaptive control designed based in switching between multiple models is an intuitively appealing and practically feasible approach to improve the transient performances.In this paper,we shall prove that for a typical class of linear systems disturbed by random noises,the multiple model based least-equares(LS)adaptive switching control is statble and convergent and has the same convergence rate as that established for the standard least-squares-based self-tunning regulators.Moreover,the mixed case combining adative models with fixed models is also considered.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/42640
Collection国家数学与交叉科学中心
Affiliation中国科学院数学与系统科学研究院
Recommended Citation
GB/T 7714
Zhang Yanxia,Guo Lei. stochasticadaptiveswitchingcontrolbasedonmultiplemodels[J]. journalofsystemsscienceandcomplexity,2002,015(001):18.
APA Zhang Yanxia,&Guo Lei.(2002).stochasticadaptiveswitchingcontrolbasedonmultiplemodels.journalofsystemsscienceandcomplexity,015(001),18.
MLA Zhang Yanxia,et al."stochasticadaptiveswitchingcontrolbasedonmultiplemodels".journalofsystemsscienceandcomplexity 015.001(2002):18.
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