Theory and applications of self-tuning regulators
Theory and Applications of Self-Tuning Regulators* Page 1 Automatica, Vol. 13, pp. 457-476.
Pergamon Press, 1977. Printed in Great Britain Theory and Applications of Self-Tuning …
Pergamon Press, 1977. Printed in Great Britain Theory and Applications of Self-Tuning …
Distributed Kalman filtering: a bibliographic review
In recent years, a compelling need has arisen to understand the effects of distributed
information structures on estimation and filtering. In this study, a bibliographical review on …
information structures on estimation and filtering. In this study, a bibliographical review on …
[ΒΙΒΛΙΟ][B] Adaptive control systems: Techniques and applications
YY Chalam - 2017 - books.google.com
impossible to access. It has been widely scattered in papers, reports, and proceedings
ofsymposia, with different authors employing different symbols and terms. But now thereis a …
ofsymposia, with different authors employing different symbols and terms. But now thereis a …
Dynamic ship positioning using a self-tuning Kalman filter
P Fung, M Grimble - IEEE Transactions on Automatic Control, 1983 - ieeexplore.ieee.org
A novel adaptive filtering technique is described for a class of systems with unknown
disturbances. The estimator includes both a self-tuning filter and a Kalman filter. The state …
disturbances. The estimator includes both a self-tuning filter and a Kalman filter. The state …
Self-tuning decoupled information fusion Wiener state component filters and their convergence
ZL Deng, Y Gao, CB Li, G Hao - Automatica, 2008 - Elsevier
For the multisensor systems with unknown noise variances, using the modern time series
analysis method, based on on-line identification of the moving average (MA) innovation …
analysis method, based on on-line identification of the moving average (MA) innovation …
Optimal and self-tuning white noise estimators with applications to deconvolution and filtering problems
ZL Deng, HS Zhang, SJ Liu, L Zhou - Automatica, 1996 - Elsevier
Using the innovation analysis method in the time domain, based on the autoregressive
moving average (ARMA) innovation model, this paper presents a unified white noise …
moving average (ARMA) innovation model, this paper presents a unified white noise …
Self-tuning decoupled fusion Kalman predictor and its convergence analysis
C Ran, GL Tao, JF Liu, ZL Deng - IEEE Sensors Journal, 2009 - ieeexplore.ieee.org
For the multisensor systems with unknown noise variances, by the correlation method, the
information fusion noise variance estimators are presented by taking the average of the local …
information fusion noise variance estimators are presented by taking the average of the local …
System identification techniques for adaptive signal processing
B Friedlander - Circuits, Systems and Signal Processing, 1982 - Springer
Many problems in adaptive filtering can be approached from the point of view of system
identification. The close interconnection between these two disciplines is explored in some …
identification. The close interconnection between these two disciplines is explored in some …
Self-tuning multisensor weighted measurement fusion Kalman filter
Y Gao, WJ Jia, XJ Sun, ZL Deng - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
For the multisensor systems with unknown noise variances, based on the solution of the
matrix equations for the correlation function, the on-line estimators of the noise variance …
matrix equations for the correlation function, the on-line estimators of the noise variance …
[ΒΙΒΛΙΟ][B] Networked filtering and fusion in wireless sensor networks
MS Mahmoud, Y **a - 2015 - api.taylorfrancis.com
In recent years, wireless sensor networks (WSN) have produced a large amount of data that
need to be processed, delivered, and assessed according to the application objectives. The …
need to be processed, delivered, and assessed according to the application objectives. The …