State estimation in discrete m-D systems

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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Veröffentlicht in:IEEE transactions on automatic control 1986-03, Vol.31 (3), p.280-283
Hauptverfasser: Porter, W., Aravena, J.
Format: Artikel
Sprache:eng
Schlagworte:
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
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Beschreibung
Zusammenfassung: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