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 proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish (US)
Title of host publication2010 Chinese Control and Decision Conference, CCDC 2010
Pages3737-3741
Number of pages5
DOIs
StatePublished - Aug 13 2010
Event2010 Chinese Control and Decision Conference, CCDC 2010 - Xuzhou, China
Duration: May 26 2010May 28 2010

Publication series

Name2010 Chinese Control and Decision Conference, CCDC 2010

Other

Other2010 Chinese Control and Decision Conference, CCDC 2010
CountryChina
CityXuzhou
Period5/26/105/28/10

Fingerprint

Neurons
Synchronization
Fuzzy control
Closed loop systems
Neuron
Control strategy
Satisficing

All Science Journal Classification (ASJC) codes

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

Cite this

Han, C. X., 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 (pp. 3737-3741). [5498497] (2010 Chinese Control and Decision Conference, CCDC 2010). https://doi.org/10.1109/CCDC.2010.5498497
Han, Chun Xiao ; Wang, Jiang ; Che, Yanqiu ; Si, Wenjie. / An improved robust ISS-satisficing control for synchronization of neurons. 2010 Chinese Control and Decision Conference, CCDC 2010. 2010. pp. 3737-3741 (2010 Chinese Control and Decision Conference, CCDC 2010).
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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.",
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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

An improved robust ISS-satisficing control for synchronization of neurons. / Han, Chun Xiao; Wang, Jiang; Che, Yanqiu; Si, Wenjie.

2010 Chinese Control and Decision Conference, CCDC 2010. 2010. p. 3737-3741 5498497 (2010 Chinese Control and Decision Conference, CCDC 2010).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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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Han CX, Wang J, Che Y, Si W. An improved robust ISS-satisficing control for synchronization of neurons. In 2010 Chinese Control and Decision Conference, CCDC 2010. 2010. p. 3737-3741. 5498497. (2010 Chinese Control and Decision Conference, CCDC 2010). https://doi.org/10.1109/CCDC.2010.5498497