Synchronization of time-delay chaotic systems in the presence of parameters uncertainties with sliding mode observer design

S. Beheshti, H. Khaloozadeh
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引用次数: 1

Abstract

In secure communication applications, time delay chaotic systems are more confidential than the simple chaotic systems. Therefore, in this paper synchronization of time delay chaotic systems has been investigated. Sliding mode observer based approach has been applied as a synchronization method and the stability of the proposed observer has been guaranteed. In order to enhance the level of security of the communication system, the parameters of drive system (transmitter) are assumed to be unknown at the response system (receiver). These uncertainties lie in linear part of the system but sliding mode observer just compensates the uncertainties that lie in nonlinear parts, so the proposed sliding mode observer cannot retrieve the actual states correctly. The proposed solution is on-line identification of the uncertain parameters using the states which have been estimated by the observer. In order to identify the uncertain parameters, the model of the system must be rewritten linearly in terms of unknown parameters. Then the parameters are estimated using Recursive Least Squares (RLS) algorithm. The estimated parameters are used simultaneously in state estimation by the observer. Consequently, the synchronization performance is increased significantly. The result is illustrated numerically on the synchronization of chaotic time-delay Chua's circuit and the simulation results demonstrate the efficiency of the proposed scheme.
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参数不确定性下时滞混沌系统的滑模观测器同步设计
在保密通信应用中,时延混沌系统比简单混沌系统具有更高的保密性。因此,本文对时滞混沌系统的同步问题进行了研究。采用基于滑模观测器的方法作为同步方法,保证了观测器的稳定性。为了提高通信系统的安全性,在响应系统(接收系统)处假定驱动系统(发射系统)的参数为未知。这些不确定性存在于系统的线性部分,而滑模观测器只是补偿了非线性部分的不确定性,因此所提出的滑模观测器不能正确地恢复系统的实际状态。该方法是利用观测器估计的状态对不确定参数进行在线辨识。为了识别不确定参数,必须根据未知参数对系统模型进行线性重写。然后利用递推最小二乘算法对参数进行估计。估计的参数被观测器同时用于状态估计。因此,同步性能显著提高。仿真结果表明了该方案的有效性,并对混沌时滞蔡氏电路的同步进行了数值验证。
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