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- Title
Gradient-based iterative identification for Wiener nonlinear systems with non-uniform sampling.
- Authors
Zhou, Lincheng; Li, Xiangli; Pan, Feng
- Abstract
This paper focuses on the identification problem of Wiener nonlinear systems with non-uniform sampling. The mathematical model for the Wiener nonlinear system is established from the non-uniformly sampled input-output data. In order to solve the identification problem of the Wiener nonlinear system with the unmeasurable variables in the information vector, the gradient-based iterative algorithm is presented by replacing the unmeasurable variables with their corresponding iterative estimates. Finally, the simulation results indicate that the proposed algorithm is effective.
- Subjects
WIENER processes; NONLINEAR systems; STOCHASTIC analysis; PARAMETER estimation; STOCHASTIC convergence; MATHEMATICAL models
- Publication
Nonlinear Dynamics, 2014, Vol 76, Issue 1, p627
- ISSN
0924-090X
- Publication type
Article
- DOI
10.1007/s11071-013-1156-5