Can I read An LMI approach to design robust fault detection filter for uncertain LTI systems on EtoBox?

An LMI approach to design robust fault detection filter for uncertain LTI systems by Maiying Zhong; Steven X. Ding; James Lam; Haibo Wang is a Engineering article available to read on EtoBox.

What is An LMI approach to design robust fault detection filter for uncertain LTI systems about?

In this paper, the robust fault detection ÿlter design problem for uncertain linear time-invariant (LTI) systems with both unknown inputs and modelling errors is studied. The basic idea of our study is to use an optimal residual generator (assuming no modelling errors) as the reference residual model of the robust fault detection ÿlter design for uncertain LTI systems with modelling errors and, based on it, to formulate the robust fault detection ÿlter design as an H∞ model-matching problem. By using some recent results of H∞ optimization, a solution of the optimization problem is then presented via a linear matrix inequality (LMI) formulation. The main results include the development of an optimal reference residual model, the formulation of robust fault detection ÿlter design problem, the derivation of a su cient condition for the existence of a robust fault detection ÿlter and a construction of it based on the LMI solution parameters, the determination of adaptive threshold for fault detection. An illustrative design example is employed to demonstrate the e ectiveness of the proposed approach.

Who reads An LMI approach to design robust fault detection filter for uncertain LTI systems?

Author

Maiying Zhong; Steven X. Ding; James Lam; Haibo Wang

Publisher

Elsevier Science; Elsevier ; Elsevier Ltd.; Test accounts; Elsevier BV (ISSN 0005-1098)

Published

2003

Language

EN

Field

Engineering (Physical Sciences)