Research Repository

Sliding Mode Observer-Based Fault Estimation for Nonlinear Networked Control Systems

Jaing, Bin, Shi, Peng and Mao, Zehui (2011) Sliding Mode Observer-Based Fault Estimation for Nonlinear Networked Control Systems. Circuits, Systems and Signal Processing, 30 (1). pp. 1-16. ISSN 0278-081X

Full text for this resource is not available from the Research Repository.


In this paper, a novel sliding mode observer-based fault estimation (FE) method is presented for a class of nonlinear networked control systems (NCSs) with Markov transfer delays. Firstly, the nonlinear NCS is described by a nonlinear discrete Takagi–Sugeno (T–S) fuzzy model using the Euler approximation method. Then, a sliding mode based nonlinear discrete observer is proposed such that the sliding motion of the error dynamical system is asymptotically stable on a designed surface. Then the FE can be achieved through this observer. Finally, an example is included to show the efficiency of the proposed method.

Item Type: Article
Uncontrolled Keywords: ResPubID20013, fault estimation, nonlinear networked control systems, sliding mode observer
Subjects: Historical > Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
Current > FOR Classification > 0802 Computation Theory and Mathematics
Historical > SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences
Depositing User: VUIR
Date Deposited: 19 Dec 2011 04:04
Last Modified: 18 Jun 2020 06:07
ePrint Statistics: View download statistics for this item
Citations in Scopus: 57 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar