Please use this identifier to cite or link to this item: https://doi.org/10.1109/CCA.2007.4389260
Title: Observer-based fault detection for piecewise linear systems: Continuous-time cases
Authors: Xu, J. 
Loh, A.P. 
Lum, K.Y. 
Keywords: Bilinear matrix inequality (BMI)
Fault detection
Linear matrix inequality (LMI)
Piecewise linear systems
Issue Date: 2007
Source: Xu, J.,Loh, A.P.,Lum, K.Y. (2007). Observer-based fault detection for piecewise linear systems: Continuous-time cases. Proceedings of the IEEE International Conference on Control Applications : 379-384. ScholarBank@NUS Repository. https://doi.org/10.1109/CCA.2007.4389260
Abstract: In this paper, we discuss the fault detection with unknown inputs for a class of continuous-time piecewise linear systems. Piecewise linear systems are mostly partitioned based on their state variables. Due to the system noise and estimation errors, the transitions of actual state and its estimate may not be synchronized, as well as the system modes. Hence, we consider the fault detection problem based on non-synchronized observer for these systems. This paper extends the authors' previous work [29], [26], [30], [28] and presents a number of less conservative design approaches. © 2007 IEEE.
Source Title: Proceedings of the IEEE International Conference on Control Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/71194
ISBN: 1424404436
DOI: 10.1109/CCA.2007.4389260
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

5
checked on Dec 13, 2017

Page view(s)

25
checked on Dec 16, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.