Journal of Signal Processing
Online ISSN : 1880-1013
Print ISSN : 1342-6230
ISSN-L : 1342-6230
Computer Algorithms for Pseudo-Formal Linearization and Nonlinear Observer for Nonlinear Scalar-Measurement Systems by Chebyshev Interpolation
Kazuo KomatsuHitoshi Takata
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2020 年 24 巻 2 号 p. 51-59

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抄録
In this paper, we propose computational algorithms for a pseudo-formal linearization method for nonlinear dynamic systems and a nonlinear observer for nonlinear scalar measurement systems using Chebyshev interpolation. This pseudo-formal linearization method transforms a nonlinear autonomous dynamic system into an augmented linear one with respect to a linearization function that consists of polynomials of state variables. When linearizing, Chebyshev interpolation is exploited so that a computational algorithm is implemented. As an application of this method, a computational algorithm for a nonlinear observer is proposed. Numerical experiments indicate that the performance of the proposed method is superior to that of the previous method.
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© 2020 Research Institute of Signal Processing, Japan
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