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	H/sub infinity / multi-step prediction for linear discrete-time systems: a distributed algorithm
	Hao-qian Wang ; Huan-shui Zhang ; Hong Hu
	2010-05-06 ; 2010-05-06
关键词	Theoretical or Mathematical/ discrete time systems distributed algorithms estimation theory H/sup infinity / control linear systems Riccati equations/ H infinity multistep prediction linear discrete-time system distributed algorithm state augmentation Riccati equation reorganized innovation analysis H infinity estimation/ C1340D Discrete control systems C1330 Optimal control C1140Z Other topics in statistics C4140 Linear algebra (numerical analysis)
中文摘要	A new approach to H/sub infinity / multi-step prediction is developed by applying the innovation analysis theory. Although the predictor is derived by resorting to state augmentation, nevertheless, it is completely different from the previous works with state augmentation. The augmented state here is considered just as a theoretical mathematic tool for deriving the estimator. A distributed algorithm for the Riccati equation of the augmented system is presented. By using the reorganized innovation analysis, calculation of the estimator does not require any augmentation. A numerical example demonstrates the effect in reducing computing burden.
语种	英语 ; 英语
出版者	Published jointly by the Korean Institute of Electrical Engineers and the Institute of Control, Automation, and Systems Engineers ; South Korea
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/9054]
专题	清华大学
推荐引用方式 GB/T 7714	Hao-qian Wang,Huan-shui Zhang,Hong Hu. H/sub infinity / multi-step prediction for linear discrete-time systems: a distributed algorithm[J],2010, 2010.
APA	Hao-qian Wang,Huan-shui Zhang,&Hong Hu.(2010).H/sub infinity / multi-step prediction for linear discrete-time systems: a distributed algorithm..
MLA	Hao-qian Wang,et al."H/sub infinity / multi-step prediction for linear discrete-time systems: a distributed algorithm".(2010).

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