We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Combined state and multi‐innovation parameter estimation for an input non‐linear state‐space system using the key term separation.
- Authors
Wang, Xuehai; Ding, Feng; Hayat, Tasawar; Alsaedi, Ahmed
- Abstract
In this study, the authors study the state and parameter estimation problem for an input non‐linear system consisting of a static non‐linear block and a linear time‐invariant state space subsystem. Using the filtering technique, a filtering based multi‐innovation generalised stochastic gradient (SG) algorithm is proposed for avoiding estimating the redundant parameters based on the key term separation technique. Compared with the multi‐innovation generalised SG algorithm, the proposed algorithm has higher parameter estimation accuracy. Two simulation examples are provided to show that the proposed algorithm works well.
- Publication
IET Control Theory & Applications (Wiley-Blackwell), 2016, Vol 10, Issue 13, p1503
- ISSN
1751-8644
- Publication type
Article
- DOI
10.1049/iet-cta.2015.1056