An improved robust ISS-satisficing control for synchronization of neurons

Chun Xiao Han; Jiang Wang; Yanqiu Che; Wenjie Si

doi:10.1109/CCDC.2010.5498497

An improved robust ISS-satisficing control for synchronization of neurons

Chun Xiao Han, Jiang Wang, Yanqiu Che, Wenjie Si

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

In the conventional robust ISS (input to state stable)-satisficing control strategy, all parameters of the system must be known and deterministic. This confines 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.

Original language	English (US)
Title of host publication	2010 Chinese Control and Decision Conference, CCDC 2010
Pages	3737-3741
Number of pages	5
DOIs	https://doi.org/10.1109/CCDC.2010.5498497
State	Published - 2010
Event	2010 Chinese Control and Decision Conference, CCDC 2010 - Xuzhou, China Duration: May 26 2010 → May 28 2010

Publication series

Name	2010 Chinese Control and Decision Conference, CCDC 2010

Other

Other	2010 Chinese Control and Decision Conference, CCDC 2010
Country/Territory	China
City	Xuzhou
Period	5/26/10 → 5/28/10

All Science Journal Classification (ASJC) codes

Decision Sciences (miscellaneous)
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/CCDC.2010.5498497

Cite this

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title = "An improved robust ISS-satisficing control for synchronization of neurons",

abstract = "In the conventional robust ISS (input to state stable)-satisficing control strategy, all parameters of the system must be known and deterministic. This confines 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.",

author = "Han, {Chun Xiao} and Jiang Wang and Yanqiu Che and Wenjie Si",

year = "2010",

doi = "10.1109/CCDC.2010.5498497",

language = "English (US)",

isbn = "9781424451821",

series = "2010 Chinese Control and Decision Conference, CCDC 2010",

pages = "3737--3741",

booktitle = "2010 Chinese Control and Decision Conference, CCDC 2010",

note = "2010 Chinese Control and Decision Conference, CCDC 2010 ; Conference date: 26-05-2010 Through 28-05-2010",

}

Han, CX, Wang, J, Che, Y & Si, W 2010, An improved robust ISS-satisficing control for synchronization of neurons. in 2010 Chinese Control and Decision Conference, CCDC 2010., 5498497, 2010 Chinese Control and Decision Conference, CCDC 2010, pp. 3737-3741, 2010 Chinese Control and Decision Conference, CCDC 2010, Xuzhou, China, 5/26/10. https://doi.org/10.1109/CCDC.2010.5498497

TY - GEN

T1 - An improved robust ISS-satisficing control for synchronization of neurons

AU - Han, Chun Xiao

AU - Wang, Jiang

AU - Che, Yanqiu

AU - Si, Wenjie

PY - 2010

Y1 - 2010

N2 - In the conventional robust ISS (input to state stable)-satisficing control strategy, all parameters of the system must be known and deterministic. This confines 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.

AB - In the conventional robust ISS (input to state stable)-satisficing control strategy, all parameters of the system must be known and deterministic. This confines 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.

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U2 - 10.1109/CCDC.2010.5498497

DO - 10.1109/CCDC.2010.5498497

M3 - Conference contribution

AN - SCOPUS:77955361759

SN - 9781424451821

T3 - 2010 Chinese Control and Decision Conference, CCDC 2010

SP - 3737

EP - 3741

BT - 2010 Chinese Control and Decision Conference, CCDC 2010

T2 - 2010 Chinese Control and Decision Conference, CCDC 2010

Y2 - 26 May 2010 through 28 May 2010

ER -

An improved robust ISS-satisficing control for synchronization of neurons

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