Tuning Functions Based Adaptive Synchrony in Inferior Olive Neurons

Keum W. Lee, S. K. Chalike, Sahjendra N. Singh
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引用次数: 1

Abstract

The design of an adaptive control system for the synchronization of inferior olive neurons (IONs) is the subject of this paper. Clusters of inferior olive neurons in the olive-cerebellar system play an important role in providing synchronized motor control signals for the activation of large number of muscles. The orbits of IONs evolving from arbitrary initial conditions are not synchronized. The objective is to design a control law such that the controlled ION tracks the trajectories of the reference ION. The derivation of the control law is based on the tuning functions method and is completed in two steps of a backstopping design process. Using Lyapunov analysis, it is shown that in the closed-loop system, the controlled ION asymptotically tracks the trajectories of the reference ION. Simulation results are presented which show precise synchronization of the two IONs.
基于调谐函数的下橄榄神经元自适应同步
本文的主题是设计一种下橄榄神经元(IONs)同步的自适应控制系统。橄榄-小脑系统中的下橄榄神经元簇在为大量肌肉的激活提供同步运动控制信号方面发挥着重要作用。从任意初始条件演化的离子轨道是不同步的。目标是设计一个控制律,使被控制离子跟踪参考离子的轨迹。控制律的推导以整定函数法为基础,分两个步骤完成。利用李雅普诺夫分析表明,在闭环系统中,被控离子渐近地跟踪参考离子的轨迹。仿真结果表明,两个离子可以实现精确的同步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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