Fault Estimation for Single Output Nonlinear Systems Using an Adaptive Sliding Mode Observer

Dong-il, Cho and Hyung, Cho and Myung, Chung and Yan, Xinggang (2008) Fault Estimation for Single Output Nonlinear Systems Using an Adaptive Sliding Mode Observer. In: Proc. 17th IFAC World Congress, 2008, Korea. (doi:https://doi.org/10.3182/20080706-5-KR-1001.00323) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.3182/20080706-5-KR-1001.00323

Abstract

In this paper, a class of single output nonlinear systems with an uncertain parameter is considered. A diffeomorphism is first introduced to simplify the system structure, then, by employing an adaptive approach to identify the unknown parameter, a sliding mode observer is developed to estimate the system state variables. Based on the observer, a fault estimation scheme is proposed based on the minimization of a weighted L_2 norm of the fault estimation error. A simulation example is given to demonstrate the proposed scheme.

Item Type: Conference or workshop item (Paper)
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Tina Thompson
Date Deposited: 29 Oct 2013 15:21 UTC
Last Modified: 09 Nov 2016 11:32 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35764 (The current URI for this page, for reference purposes)
  • Depositors only (login required):