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Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition

  • Published:2016-08 Issue: Volume:301 Page:135-143
  • ISSN:0377-0427
  • Container-title:Journal of Computational and Applied Mathematics
  • language:en
  • Short-container-title:Journal of Computational and Applied Mathematics

Author:

Ding Feng,Liu Ximei,Ma Xingyun

Funder

National Natural Science Foundation of China

Taishan Scholar Project Fund of Shandong Province of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference47 articles.

1. System Identification — New Theory and Methods;Ding,2013

2. System Identification — Performances Analysis for Identification Methods;Ding,2014

3. Identification of systems with localised nonlinearity: From state-space to block-structured models;Mulders;Automatica,2013

4. Auxiliary model based parameter estimation for dual-rate output error systems with colored noise;Ding;Appl. Math. Model.,2013

5. Modified subspace identification for periodically non-uniformly sampled systems by using the lifting technique;Ding;Circuits Systems Signal Process.,2014

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