A Nonparametric Identification Technique for Nonlinear Dynamic Problems

[+] Author and Article Information
S. F. Masri

Civil Engineering Department, University of Southern California, Los Angeles, Calif. 90007

T. K. Caughey

Division of Engineering and Applied Science, California Institute of Technology, Pasadena, Calif. 91106

J. Appl. Mech 46(2), 433-447 (Jun 01, 1979) (15 pages) doi:10.1115/1.3424568 History: Received July 01, 1978; Online July 12, 2010


A nonparametric identification technique is presented that uses information about the state variables of nonlinear systems to express the system characteristics in terms of orthogonal functions. The method can be used with deterministic or random excitation (stationary or otherwise) to identify dynamic systems with arbitrary nonlinearities, including those with hysteretic characteristics. The method is shown to be more efficient than the Weiner-kernel approach in identifying nonlinear dynamic systems of the type considered.

Copyright © 1979 by ASME
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