State estimation in discrete m-D systems

In this study observers and stochastic state estimation for m - D systems are considered. The analysis uses a wave advance process model in transporting the existing 1-D results to the m -D setting. A constrained minimization technique is used to compute the optimal state estimator which preserves q...

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Bibliographic Details
Published inIEEE transactions on automatic control Vol. 31; no. 3; pp. 280 - 283
Main Authors Porter, W., Aravena, J.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.03.1986
Institute of Electrical and Electronics Engineers
Subjects
Applied sciences
Automatic control
Circuits
Computer science; control theory; systems
Control theory. Systems
Controllability
Exact sciences and technology
Filtering theory
Linear systems
Modelling and identification
Multidimensional systems
Observability
State estimation
State-space methods
Sufficient conditions
Discrete system
Optimal estimation
State estimation
Multivariable system
Observer
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Summary:In this study observers and stochastic state estimation for m - D systems are considered. The analysis uses a wave advance process model in transporting the existing 1-D results to the m -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.
ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.1986.1104249