An improved robust ISS-satisficing control for synchronization of neurons
In the conventional robust ISS (input to state stable)-satisficing control strategy, all parameters of the system must be known and deterministic. This con.nes its application. So in this paper, the robust ISS-satisficing control strategy and the variable universe indirect fuzzy control strategy are combined to offset this weakness. The proposed control method has the inverse optimality of the robust ISS-satisficing control and the robust and predictive performance of the fuzzy control. Based on Lyapunov control method, the overall closed-loop system is shown to be stable. The new control strategy is used to realize the synchronization of Hodgkin-Huxley (HH) neurons. The simulation results confirm the feasibility and effectiveness of control algorithm.
ISS-satisficing control variable universe indirect fuzzy HH neuron synchronization
Chun-Xiao Han Jiang Wang Yan-Qiu Che Wenjie Si
School of Electrical Engineering and Automation, Tianjin University, 300072, P. R. China
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
3737-3741
2010-05-26(万方平台首次上网日期,不代表论文的发表时间)