title: Estimating model parameters by chaos synchronization.
abstract: Using chaos synchronization and a proposed iterative method of parameter adaptation, we precisely estimate the model parameters of chaotic systems and synchronize two chaotic systems with originally mismatching model parameters. This parameter adaptation method can be applied to a spatiotemporal chaotic system with a one-way-coupled map lattice. As a biomedical application, this method is capable of estimating the asymmetric tension parameter of a vocal fold model.
authors.affiliation: Institute of Acoustics, State Key Laboratory of Modern Acoustics, Nanjing University, Nanjing 210093, People's Republic of China.
authors.forename: Chao
authors.initials: C
authors.lastname: Tao
authors.forename: Yu
authors.initials: Y
authors.lastname: Zhang
authors.forename: Gonghuan
authors.initials: G
authors.lastname: Du
authors.forename: Jack J
authors.initials: JJ
authors.lastname: Jiang
mesh_terms: D055592:Biophysical Phenomena; D001703:Biophysics; D015233:Models, Statistical; D017711:Nonlinear Dynamics; D013997:Time Factors