We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Design of a PD‐type learning observer for reconstruction of actuator faults in descriptor systems.
- Authors
Jia, Qingxian; Chen, Wen; Wang, Peng; Zhang, Yingchun
- Abstract
This study investigates the problem of reconstructing actuator faults for descriptor systems via a PD‐type learning observer. By synthesising the derivatives of the output estimation error into the P‐type learning law, a novel PD‐type learning observer is established to simultaneously reconstruct original system states and actuator faults. Stability analysis of the PD‐type learning observer is explicitly provided. A systematic design method is also suggested based on a linear matrix inequality technique. Further, a robust PD‐type learning observer is designed against process disturbances and measurement noises. At last, a simulation example is used to demonstrate the effectiveness of the proposed fault‐reconstructing method.
- Publication
IET Control Theory & Applications (Wiley-Blackwell), 2017, Vol 11, Issue 2, p17
- ISSN
1751-8644
- Publication type
Article
- DOI
10.1049/iet-cta.2015.1143