Fault reconstruction for Lipschitz nonlinear descriptor systems via linear matrix inequality approach

Zhiwei Gao, Steven X. Ding

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)

Abstract

By using the linear matrix inequality for a nonlinear descriptor system with a Lipschitz constraint, a state-space observer is designed to simultaneously reconstruct the descriptor system states and the fault signals. For a nonlinear descriptor system with bounded input disturbances, a robust state-space observer is proposed to simultaneously reconstruct the descriptor system states and the faults and attenuate the input bounded disturbances. The fault considered can be unbounded (provided that the qth derivative of the fault is zero piecewise or norm bounded); thus, the present fault reconstruction approach can handle a large class of fault signals including time-invariant and time-varying signals. A numerical example is given to illustrate the proposed design approach
Original languageEnglish
Pages (from-to)295-308
JournalCircuits, Systems & Signal Processing
Volume27
Issue number3
DOIs
Publication statusPublished - 2008

Fingerprint Dive into the research topics of 'Fault reconstruction for Lipschitz nonlinear descriptor systems via linear matrix inequality approach'. Together they form a unique fingerprint.

Cite this