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Non‐minimum phase switched systems: HOSM‐based fault detection and fault identification via Volterra integral equation
Author(s) -
Ríos H.,
Efimov D.,
Davila J.,
Raïssi T.,
Fridman L.,
Zolghadri A.
Publication year - 2014
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2448
Subject(s) - unobservable , observable , control theory (sociology) , state (computer science) , fault (geology) , fault detection and isolation , mathematics , phase (matter) , class (philosophy) , identification (biology) , mode (computer interface) , computer science , algorithm , physics , control (management) , artificial intelligence , econometrics , botany , quantum mechanics , seismology , biology , geology , operating system , actuator
SUMMARY In this paper, the problem of continuous and discrete state estimation for a class of linear switched systems with additive faults is studied. The class of systems under study can contain non‐minimum phase zeroes in some of their ‘operating modes’. The conditions for exact reconstruction of the discrete state are given using structural properties of the switched system. The state space is decomposed into the strongly observable part, the non‐strongly observable part, and the unobservable part, to analyze the effect of the unknown inputs. State observers based on high‐order sliding mode to exactly estimate the strongly observable part and Luenberger‐like observers to estimate the remaining parts are proposed. For the case when the exact estimation of the state cannot be achieved, the ultimate bounds on the estimation errors are provided. The proposed strategy includes a high‐order sliding‐mode‐based fault detection and a fault identification scheme via the solution of a Volterra integral equation. The feasibility of the proposed method is illustrated by simulations. Copyright © 2013 John Wiley & Sons, Ltd.