DocumentCode
852109
Title
State estimation in discrete m-D systems
Author
Porter, W.A. ; Aravena, J.L.
Author_Institution
Louisiana State University, Baton Rouge, LA, USA
Volume
31
Issue
3
fYear
1986
fDate
3/1/1986 12:00:00 AM
Firstpage
280
Lastpage
283
Abstract
In this study observers and stochastic state estimation for 
- D systems are considered. The analysis uses a wave advance process model in transporting the existing 1-D results to the -D setting. A constrained minimization technique is used to compute the optimal state estimator which preserves quarter plane causality. The optimal state estimator, without the quarter plane causality constraint, is also determined. A comparison then yields insight into the tradeoff between quarter plane causality and estimator performance.
- D systems are considered. The analysis uses a wave advance process model in transporting the existing 1-D results to the -D setting. A constrained minimization technique is used to compute the optimal state estimator which preserves quarter plane causality. The optimal state estimator, without the quarter plane causality constraint, is also determined. A comparison then yields insight into the tradeoff between quarter plane causality and estimator performance.Keywords
Discrete-time systems; Linear systems, stochastic; Multidimensional (n-D) system; State estimation, linear systems; Stochastic systems, linear; Automatic control; Circuits; Controllability; Filtering theory; Linear systems; Multidimensional systems; Observability; State estimation; State-space methods; Sufficient conditions;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1986.1104249
Filename
1104249
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