MMSE deconvolution via polynomial methods and its dual LQG regulation

Automatica

Volumn 30, Issue 7, 1994, Pages 1197-1201

  Chisci, L ^a   Mosca, E ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

linear systems; matrix polynomial equations; multivariable systems; optimal control; Optimal estimation

Indexed keywords

KALMAN FILTERING; LINEAR CONTROL SYSTEMS; MATRIX ALGEBRA; MULTIVARIABLE SYSTEMS; OPTIMAL CONTROL SYSTEMS; PARAMETER ESTIMATION; POLYNOMIALS; SYSTEM STABILITY;

BILATERAL DIOPHANTINE EQUATIONS; DUAL LINEAR QUADRATIC GAUSSIAN (LQG) REGULATION; LINEAR MINIMUM MEAN SQUARE ERROR (MMSE) MULTICHANNEL DECONVOLUTION;

SIGNAL PROCESSING;

EID: 0028463080     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/0005-1098(94)90214-3     Document Type: Article

References (10)

1. Optimal deconvolution based on polynomial methods
2. Wiener filter design using polynomial equations
3. Continuous-time LQ regulator design by polynomial equations
4. A general polynomial solution to the MMSE deconvolution problem
5. Polynomial equations for the linear MMSE state estimation
6. ∞ optimal linear filtering problem for discrete-time systems
7. New results in state estimation and regulation
8. On the polynomial equations for the MIMO LQ stochastic regulator
9. Predictor-based self-tuning control