Title :
Observer-based synchronization of networked Hindmarsh-Rose neurons
Author :
Bayat, F. Kemal ; Yilmaz, Mutlu ; El-Hawary, M.E.
Author_Institution :
Dept. of Electr. & Electron., Marmara Univ., Istanbul, Turkey
Abstract :
The main objective of this paper is to develop an observer-based synchronization scheme for networked Hindmarsh-Rose neuron models. Regarding synchronization as a state estimation problem, an observer design approach is used for estimating full state dynamics. Stability of the trajectories to be synchronized is determined by utilization of the contraction theory that provides an efficient tool for analyzing convergence of manifolds with respect to each other. Thereupon, a region where contraction of trajectories takes place is determined; therefore the corresponding error dynamics of the model remain in that contracting region. Consequent results are also supported by a numerical simulation example in the end demonstrating the effectiveness of our approach.
Keywords :
networked control systems; neurocontrollers; nonlinear control systems; observers; stability; synchronisation; contraction theory; error dynamics; full state dynamics estimation; manifold convergence analysis; networked Hindmarsh-Rose neuron models; nonlinear systems; numerical simulation; observer design approach; observer-based synchronization scheme; state estimation problem; trajectory stability; Convergence; Couplings; Jacobian matrices; Neurons; Observers; Stability analysis; Synchronization; Contraction theory; Hindmarsh-Rose neuron model; Nonlinear systems; Observers;
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on
Conference_Location :
Halifax, NS
Print_ISBN :
978-1-4799-5827-6
DOI :
10.1109/CCECE.2015.7129521