Nonlinear System Identification of Discrete Systems Using GLO-Map Conference Paper uri icon

abstract

  • A Global-Local Mapping Approximation method is presented in this paper for identifying discrete systems using input-output data. The method is based on the idea that any nonlinear system can be represented as a sum of a discrete linear model and unmodeled nonlinearities. Linear system is then perturbed by a nonlinear term which represents the system nonlinearities that are not captured by the linear model. To identify the discrete systems, discrete learning laws are derived using Lyapunov stability analysis. Numerical examples show the successful application of this technique for identification of nonlinear discrete models using data obtained from the simulations. Copyright 2009 by Monika Marwaha.

name of conference

  • AIAA Guidance, Navigation, and Control Conference

published proceedings

  • AIAA Guidance, Navigation, and Control Conference

author list (cited authors)

  • Marwaha, M., Valasek, J., & Singla, P.

citation count

  • 0

complete list of authors

  • Marwaha, Monika||Valasek, John||Singla, Puneet

publication date

  • August 2009