Analysis and modification of Volterra/Wiener neural networks for the adaptive identification of non-linear hysteretic dynamic systems

Author:

Pei J.-S.,Smyth A.W.,Kosmatopoulos E.B.

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Acoustics and Ultrasonics,Condensed Matter Physics

Reference18 articles.

1. Robust adaptive neural estimation of restoring forces in nonlinear structures;Kosmatopoulos;American Society of Mechanical Engineers Journal of Applied Mechanics,2001

2. Methods of random vibration for inelastic structures;Wen;Applied Mechanical Review of the American Society of Mechanical Engineers,1989

3. Identification of hysteretic oscillators under earthquake loading by nonparametric models;Benedettini;American Society of Civil Engineers Journal of Engineering Mechanics,1995

4. Development of adaptive modeling techniques for nonlinear hysteretic systems;Smyth;International Journal of Nonlinear Mechanics,2002

5. J.S. Pei, Parametric and Nonparametric Identification of Nonlinear Systems, PhD Dissertation, Columbia University, 2001.

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