Pinning Control for Synchronization of HR Biological Neural Networks:Linear Active Disturbance Rejection Approach

Authors

Wei Wei, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;
Wen Jiao, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;

Abstract

Abstract: Synchronization of a complex network whose nodes are Hindmarsh-Rose biological neurons was considered. Coupling strengths of the whole network were always taken as the tuning variables. However, coupling strengths may not be changeable. In addition, synchronization was affected by different disturbances. In view of above factors, pinning control was utilized and linear active disturbance rejection control (LADRC) was designed. By this approach, synchronization was achieved in according to synchronization errors of the controlled nodes and the couplings among nodes. In the simulations, coupling strength was fixed at a relative small value, and no external disturbance case and external disturbance existing case were considered. Simulation results confirm that LADRC is able to estimate and compensate disturbances in real time, which guarantee nice performance of synchronization. Compared with other reported synchronization approaches, LADRC is less dependent of accurate model of networks, and robust enough to disturbances.

Recommended Citation

Wei, Wei and Jiao, Wen (2020) "Pinning Control for Synchronization of HR Biological Neural Networks:Linear Active Disturbance Rejection Approach," Journal of System Simulation: Vol. 27: Iss. 12, Article 28.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss12/28

First Page

3070

Revised Date

2015-02-12

DOI Link

https://doi.org/

Last Page

3075

CLC

TP273

Recommended Citation

Wei Wei, Wen Jiao. Pinning Control for Synchronization of HR Biological Neural Networks:Linear Active Disturbance Rejection Approach[J]. Journal of System Simulation, 2015, 27(12): 3070-3075.