NDLI: An adaptive regulation problem and its application

Content Provider	Springer Nature Link
Author	Jiang, Yuan Dai, Ji Yang
Copyright Year	2016
Abstract	This paper studies an adaptive regulation problem for the modified FitzHugh-Nagumo neuron model under external electrical stimulation. We first present the solution of the global robust output regulation problem for output feedback system with an uncertain exosystem which models the external electrical stimulation with unknown frequency and amplitude. Then, we show that the robust control problem for the modified FitzHugh-Nagumo neuron model can be formulated as the global robust output regulation problem and the solvability conditions for the output regulation problem for the modified FitzHugh-Nagumo neuron model are all satisfied. Then, we apply the obtained output regulation result to constructing an output feedback control law for the modified FitzHugh-Nagumo neuron model to achieve global stability of the closed-loop system in the presence of uncertain parameters and external stimulus. An example is given to show that the proposed algorithm can completely reject the external electrical stimulation.
Starting Page	221
Ending Page	228
Page Count	8
File Format	PDF
ISSN	14768186
Journal	International Journal of Automation and Computing
Volume Number	14
Issue Number	2
e-ISSN	17518520
Language	English
Publisher	Institute of Automation, Chinese Academy of Sciences
Publisher Date	2016-01-11
Publisher Place	Beijing
Access Restriction	Subscribed
Subject Keyword	Control theory Lyapunov methods internal model principle modified FitzHugh-Nagumo model Control, Robotics, Mechatronics Computer Applications Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Control and Systems Engineering Modeling and Simulation Computer Science Applications

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