A distributed algorithm for H_infinity fixed_lag smoothing  

A distributed algorithm for H_infinity fixed_lag smoothing

在线阅读下载全文

作  者:Huanshui ZHANG Chenghui ZHANG 

机构地区:[1]Shenzhen Graduate School of HITHIT Campus, Shenzhen Umversity Town Xili, Shenzhen Guangdong 518055, China [2]College of Control Science and Engineering, Shandong University,Jinan Shangdong 250100, China

出  处:《控制理论与应用(英文版)》2005年第3期223-229,共7页

基  金:The work ofthe first author was supported bythe National Nature Science Foundation of China (No .60174017,60574016) .

摘  要:In this paper, a new approach to H-infinity fixed-lag smoothing is developed by applying the innovation analysis theory. The smoother is derived by resorting to the augmentation state. However, being completely different from the previous work,the augmented state here is considered as just a theoretical mathematical tool for deriving the estimator. A distributed algorithm for the Riccati equation of the augmented system is presented. The calcuhtion of the estimator does not require any augmentation. The comparison of the computation costs between the new approach and previous work is made. The main technique applied in this paper is the re-organized innovation analysis in an indefinite space.In this paper, a new approach to H-infinity fixed-lag smoothing is developed by applying the innovation analysis theory. The smoother is derived by resorting to the augmentation state. However, being completely different from the previous work,the augmented state here is considered as just a theoretical mathematical tool for deriving the estimator. A distributed algorithm for the Riccati equation of the augmented system is presented. The calcuhtion of the estimator does not require any augmentation. The comparison of the computation costs between the new approach and previous work is made. The main technique applied in this paper is the re-organized innovation analysis in an indefinite space.

关 键 词:H-infinity estimation Fixed-lag smoothing INNOVATION Riccati difference equation 

分 类 号:O175[理学—数学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象