Parameter identification of wiener systems using the steady-state responses by a novel artificial bee colony algorithm
Abstract
A novel identification approach is proposed for Wiener systems to avoid error accumulation. The proposed approach identifies the linear and nonlinear part respectively. Firstly, a sequence of step signals with various amplitudes is supplied to the system. The structure of the static nonlinear function is obtained from the input step signals and their corresponding steady-state responses. A novel Artificial Bee Colony (NABC) algorithm is developed to solve the optimization problems and the two experiment studies show that the proposed identification procedure is effective.
Fields of Study & Subjects
Control Systems and Identification
Advanced Adaptive Filtering Techniques
Metaheuristic Optimization Algorithms Research
Publication details
- Journal / source
- ITM Web of Conferences
- Volume
- 83
- Pages
- 01013–01013
- Publication date
- 1 January 2026
- Language
- EN