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Robust state estimation and fault detection combining unknown input observer and set-membership approach
Xu, Feng; Tan, Junbo; Wang, Xueqian; Puig Cayuela, Vicenç; Liu, Houde; Liang, Bin; Yuan, Bo
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
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This paper aims to propose a new robust state-estimation and fault-detection method by combining the unknown input observer (UIO) and the set-membership estimator (SME). It is known that both the SUIO and the SME can be used to estimate the states of a system. The former aims to obtain a particular value by actively decoupling the effect of unknown inputs, while the latter can obtain state-estimation sets by prediction and correction based on the set theory. Instead of particular state values, the latter can obtain state-estimation sets guaranteeing to contain system states (i.e., robust state estimation). In this paper, we propose to use the framework of the UIO to actively decouple part of unknown inputs and then further employ the set-membership estimation method to estimate state sets and detect faults. The objective of the proposed method is to reduce the conservatism of robust state-estimation sets by using the UIO to remove the contribution of part of unknown inputs to the sizes of state-estimation sets. At the end of this paper, a numerical example is used to illustrate the effectiveness and advantages of the proposed approach.
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Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació
System failures (Engineering)
Robustness
Observers
Noise measurement
Fault detection
Numerical models
Errors de sistemes (Enginyeria)
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/conferenceObject
IEEE Press
         

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