Distributed state estimation, fault detection and isolation filter design for heterogeneous multi‐agent linear parameter‐varying systems. Issue 2 (1st January 2017)

• Record Type: Journal Article
• Authors: Chadli, Mohammed; Davoodi, Mohammadreza; Meskin, Nader
• Is Part Of: IET control theory & applications. Volume 11:Issue 2(2017)
• Page Start: 254
• Page End: 262
• Publication Date: 2017-01-01
• Subjects: fault diagnosis -- linear parameter varying systems -- observers -- state‐space methods -- decentralised control -- multi‐agent systems; distributed state estimation -- heterogeneous multiagent linear parameter‐varying systems -- fault detection‐and‐isolation filter design -- distributed filter design method -- sensor measurements -- FDI filter -- unknown input observer; Control theory -- Periodicals; Automatic control -- Periodicals; 629.8312
• DOI: 10.1049/iet-cta.2016.0912
• Languages: English
• ISSNs: 1751-8644

Abstract

Abstract : In this study, the authors present a new approach for the design of distributed state estimation and fault detection and isolation (FDI) filters for a class of linear parameter‐varying multi‐agent systems, where the state‐space representations of the agents are not identical. The developed formulation for the FDI offers a distributed filter design method, in which each agent uses sensor measurements both locally and from the neighbouring agents. Each FDI filter is in the 'unknown input observer' form which are designed so that their outputs, i.e. residual signals, are: (i) robust with respect to the external disturbance inputs and (ii) sensitive with respect to the fault signals. Moreover, it is shown that using the proposed methodology each agent is able to estimate not only its own states, but also states of its nearest neighbours in the presence of external disturbances and faults. Finally, a numerical example is given to illustrate the efficacy of the main results of the paper.