NDLI: An Improved Robust ISS-satisfying Control for Synchronization of FHN Neurons

Content Provider	IEEE Xplore Digital Library
Author	Li Huiyan Liu Yuliang Han Chunxiao Wang Jiang
Copyright Year	2011
Abstract	In the conventional robust ISS (input to state stable) which satisfies control strategy, all parameters of the system must be known and deterministic. Since it confines the application, in this paper an attempt is made to create a bridge between two important design techniques, i.e., the robust ISS-satisficing control strategy and the variable universe indirect fuzzy control strategy, to offset this weakness. The new control method proposed has the inverse optimality of robust ISS-satisficing control and the robust and predictive performance of fuzzy control. Due to the control Lyapunov method, the overall closed-loop system is shown to be stable. In this work, the new control strategy is used in synchronization of two FHN neurons. The simulation results are given to confirm the control algorithm is feasible and performances well.
Starting Page	424
Ending Page	427
File Size	556952
Page Count	4
File Format	PDF
ISBN	9781424490103
DOI	10.1109/ICMTMA.2011.107
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-01-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Variable universe indirect fuzzy Neurons Adaptation model FHN neuron Robustness Synchronization Mathematical model Equations Robust ISS-satisficing control
Content Type	Text
Resource Type	Article

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