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Input Disturbance Estimation For Linear Systems in The Bounded Noise Context
Author(s) -
Grobov Igor D.
Publication year - 2001
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1111/j.1934-6093.2001.tb00070.x
Subject(s) - disturbance (geology) , bounded function , control theory (sociology) , noise (video) , context (archaeology) , computer science , linear system , set (abstract data type) , mathematics , sampling (signal processing) , artificial intelligence , filter (signal processing) , geography , control (management) , mathematical analysis , paleontology , archaeology , image (mathematics) , computer vision , biology , programming language
A method is presented for constructing input disturbance estimates for a linear system using noisy observations. The input disturbance of the dynamic system and the observation noise are assumed to be unknown but bounded. In addition, the structural characteristics of the input disturbance are given in the form of the maximum possible change of its magnitude per sampling time. The input disturbance represents a wide category of system uncertainties. A recursive procedure for obtaining disturbance set estimates is derived. The procedure is easy to implement and is a competitive technique comparative to the classical estimation schemes. Simulation results demonstrate the performance of the given techniques.