Gradient-Based Recursive Identification Methods for Input Nonlinear Equation Error Closed-Loop Systems

Bingbing Shen; Feng Ding; Ahmed Alsaedi; Tasawar Hayat

doi:10.1007/s00034-016-0394-4

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Gradient-Based Recursive Identification Methods for Input Nonlinear Equation Error Closed-Loop Systems

Journal article

Peer reviewed

Gradient-Based Recursive Identification Methods for Input Nonlinear Equation Error Closed-Loop Systems

Bingbing Shen, Feng Ding, Ahmed Alsaedi and Tasawar Hayat

Circuits, systems, and signal processing, Vol.36(5), pp.2166-2183

01/05/2017

DOI: https://doi.org/10.1007/s00034-016-0394-4

Abstract

Engineering

Engineering, Electrical & Electronic

Science & Technology

Technology

The identification problem of closed-loop or feedback nonlinear systems is a hot topic. Based on the hierarchical identification principle, this paper presents a hierarchical stochastic gradient algorithm and a hierarchical multi-innovation stochastic gradient algorithm for feedback nonlinear systems. The simulation results show that the hierarchical multi-innovation stochastic gradient can more effectively estimate the parameters of the feedback nonlinear systems than the hierarchical stochastic gradient algorithm.

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Title: Gradient-Based Recursive Identification Methods for Input Nonlinear Equation Error Closed-Loop Systems
Creators - without role: Bingbing Shen - Jiangnan University
Feng Ding - King Abdulaziz University
Ahmed Alsaedi - King Abdulaziz University
Tasawar Hayat - King Abdulaziz University
Publication Details: Circuits, systems, and signal processing, Vol.36(5), pp.2166-2183
Publisher: Springer Nature
Number of pages: 18
Grant note: B12018 / 111 Project; Ministry of Education, China - 111 Project 61273194 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC)
Identifiers: 9936742908331
Academic Unit: King Abdulaziz University
Language: English
Resource Type: Journal article