Title :
Robust consensus of FitzHugh-Nagumo networks with disturbances via sliding mode control
Author :
Qunjiao Zhang ; Juan Luo ; Jie Liu
Author_Institution :
Coll. of Math. & Comput. Sci., Wuhan Textile Univ., Wuhan, China
Abstract :
In this paper, the robust consensus between two FitzHugh-Nagumo networks with external disturbances is investigated, based on the sliding mode control method. Some synchronization criterion and theoretical ultimate error bounds are derived to realize the robust synchronization. Finally, some numerical simulations are given to illustrate the validity of the proposed results.
Keywords :
neurocontrollers; robust control; synchronisation; variable structure systems; FitzHugh-Nagumo neuron networks; external disturbances; robust synchronization criterion; sliding mode control method; Chaotic communication; Electrical stimulation; Neurons; Robustness; Sliding mode control; Synchronization;
Conference_Titel :
Natural Computation (ICNC), 2014 10th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4799-5150-5
DOI :
10.1109/ICNC.2014.6975823
