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
Link To Document :
