Abstract
The problem of virtual sensors design to solve the problems of control and fault diagnosis in nonlinear systems is studied. The problem is solved in three steps: at the first step, the linear model invariant with respect to the disturbance is designed; at the second step, a possibility to estimate the given variable is checked; finally, stability of the observer is obtained. The relations to design virtual sensor of minimal dimension estimating given component of the state vector of the system are obtained. The theoretical results are illustrated by practical example.
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This paper was supported by Russian Scientific Foundation, project 22-29-01303.
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Zhirabok, A., Zuev, A., Filaretov, V., Yuan, C., Protcenko, A., Il, K.C. (2022). Robust Virtual Sensors Design for Linear Systems. In: Huang, DS., Jo, KH., Jing, J., Premaratne, P., Bevilacqua, V., Hussain, A. (eds) Intelligent Computing Methodologies. ICIC 2022. Lecture Notes in Computer Science(), vol 13395. Springer, Cham. https://doi.org/10.1007/978-3-031-13832-4_5
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