Sliding mode and active disturbance rejection compound synchronization for Hindmarsh-Rose neural networks

Author

Wei Wei ; Yingcai Dong ; Tingli Su ; Min Zuo ; Junping Du

Author_Institution

Beijing Technol. & Bus. Univ., Beijing, China

fYear

2014

Firstpage

651

Lastpage

655

Abstract

In this paper, the synchronization of Hindmarsh-Rose (HR) neural networks is considered. In order to overcome chattering problem, the major drawback of sliding mode control, linear active disturbance rejection control (LADRC) is employed. Extended state observer, key part of LADRC, is able to estimate and compensate disturbances in real time, which can suppress the chattering of sliding mode control successfully. Sliding mode and LADRC compound synchronization approach is capable of achieving the synchronization of HR neural networks in according to synchronization errors, which guarantee good performance of synchronization. Numerical simulation results are given to confirm the compound synchronization approach.

Keywords

neural nets; neurocontrollers; observers; variable structure systems; HR neural networks; Hindmarsh-Rose neural networks; active disturbance rejection compound synchronization; linear active disturbance rejection control; numerical simulation; sliding mode control; state observer; Adaptation models; Biological system modeling; Compounds; Nonlinear systems; Numerical models; Robustness; Synchronization; HR neural networks; LADRC; Sliding mode; Synchronization;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on

Print_ISBN

978-1-4799-4720-1

Type

conf

DOI

10.1109/CCIS.2014.7175815

Filename

7175815