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Title: Identification of nonlinear dynamical systems from chaotic time series
Authors: Lu, Fangfang.
Keywords: DRNTU::Engineering::Mechanical engineering::Mechanics and dynamics
Issue Date: 2006
Abstract: The thesis mainly focuses on the problem of nonlinear dynamical system identification from observed time series, which is one of the challenging topics in nonlinear time series analysis. The problem of nonlinear dynamical system identification is addressed in this thesis in three aspects: parameter identification; estimation of parameters and unobserved trajectory components; determination of the optimal model structure.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Theses

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