Self‐tuning fusion Kalman filter weighted by scalars and its convergence analysis for multi‐channel autoregressive moving average signals

Publisher： John Wiley & Sons Inc

E-ISSN： 1099-1115|29|6|725-740

ISSN： 0890-6327

Source： INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, Vol.29, Iss.6, 2015-06, pp. : 725-740

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Self-tuning of the noising methods

By Charon Irene   Hudry Olivier  

Optimization, Vol. 58, Iss. 7, 2009-10 ,pp. : 823-843

Taylor & Francis Ltd

Access to resources Recommend Favorite

A development of a power system stabilizer with a fuzzy auto-regressive moving average model

By Moon U.-C.   Park Y.-M.   Lee K.Y.  

Fuzzy Sets and Systems, Vol. 102, Iss. 1, 1999-02 ,pp. : 95-101

Elsevier

Access to resources Recommend Favorite

A self-tuning fuzzy PI controller

By Mudi R.K.   Pal N.R.  

Fuzzy Sets and Systems, Vol. 115, Iss. 2, 2000-10 ,pp. : 327-338

Elsevier

Access to resources Recommend Favorite

An Extended Nonparametric Exponentially Weighted Moving Average Sign Control Chart

By  

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, Vol. 31, Iss. 1, 2015-02 ,pp. : 3-13

John Wiley & Sons Inc

Access to resources Recommend Favorite

Control chart for monitoring the coefficient of variation with an exponentially weighted moving average procedure

By  

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, Vol. 34, Iss. 2, 2018-03 ,pp. : 188-202

John Wiley & Sons Inc

Access to resources Recommend Favorite