A Novel Approach for Synchronizing of Fractional Order Uncertain Chaotic Systems in the Presence of Unknown Time-Variant Delay and Disturbance

IF 2 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
Linli Wu, Xiuwei Fu
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引用次数: 1

Abstract

This paper presents a new method for synchronizing between two fractional order chaotic systems in the simultaneous presence of three categories including uncertainty, external disturbance and time-varying delay. The uncertainties considered in chaotic drive and response systems are on the nonlinear functions, the external disturbances are finite with unknown upper bound,  and the delays in the nonlinear functions are 1- variable with time 2- unknown and 3- different from each other in two drive and response systems. A new hybrid method based on fuzzy, adaptive and robust techniques is proposed to achieve synchronization for a specific class of fractional order chaotic systems. The fuzzy method is used to estimate the effects of uncertainties and delayed functions, the adaptive method is employed to obtain the optimal weights of the fuzzy approximator as well as the estimation for upper bound of disturbances, and the robust method is performed to ensure the stability of synchronization and also to cover the errors of both fuzzy and adaptive methods. Simulation in MATLAB environment shows the efficiency of the proposed method in achieving the synchronization goal despite the problems of delay, disturbance and uncertainty.
存在未知时变延迟和扰动的分数阶不确定混沌系统的一种新同步方法
提出了一种同时存在不确定性、外部干扰和时变时滞的分数阶混沌系统同步的新方法。混沌驱动与响应系统考虑的不确定性是非线性函数,外部扰动是有限的,上界未知,非线性函数的时滞在两个驱动与响应系统中是1-变量,时间为2-未知,3-不同。针对一类分数阶混沌系统,提出了一种基于模糊、自适应和鲁棒的混合同步方法。采用模糊方法估计不确定性和延迟函数的影响,采用自适应方法获得模糊逼近器的最优权值以及扰动上界的估计,并采用鲁棒方法保证同步的稳定性,同时覆盖模糊方法和自适应方法的误差。在MATLAB环境下的仿真表明,尽管存在延迟、干扰和不确定性等问题,该方法仍能有效地实现同步目标。
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来源期刊
Information Technology and Control
Information Technology and Control 工程技术-计算机:人工智能
CiteScore
2.70
自引率
9.10%
发文量
36
审稿时长
12 months
期刊介绍: Periodical journal covers a wide field of computer science and control systems related problems including: -Software and hardware engineering; -Management systems engineering; -Information systems and databases; -Embedded systems; -Physical systems modelling and application; -Computer networks and cloud computing; -Data visualization; -Human-computer interface; -Computer graphics, visual analytics, and multimedia systems.
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