Control and Synchronization of Chaotic Systems Using Fuzzy Feedback Linearization

Azarfar, Azita; Gholizade‐Narm, Hossein; Shandiz, Heydar Toossian

doi:10.1109/iwcfta.2011.23

Cited by 2 publications

(2 citation statements)

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“…Because of these features, controlling the chaotic system is a very significant and demanding problem for the research fraternity. There exist many methods in literature about synchronization techniques for chaotic systems, such as nonlinear feedback control [1]- [3], feedback linearization technique [4]- [6], back stepping method [7], active control technique [8] and sliding mode control approach [9], etc. In most of these synchronization problems, master-slave configuration is used [10]- [18].…”

Section: Introductionmentioning

confidence: 99%

“…Likewise, in [3] two identical Chen system and two non-identical systems (Genesio and Rossler systems) with fractional order have been formulated using Non-linear control scheme. The proposed scheme in [4] is applicable for tracking, regulation as well as synchronization of chaotic systems. Feedback linearization approach is proposed in [5] which is suppressing the oscillations that are generated from the mode-coupling mechanism and are not desirable for various applications of nonlinear dynamical friction system.…”

Section: Introductionmentioning

confidence: 99%

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A comparative analysis on synchronization of two general class of chaotic systems using non-linear feedback control and feedback linearization techniques

Dolma¹,

Handa²

2022

Robotics, Automation and Non-Destructive Evaluation

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In this manuscript, two controlling techniques (Non-Linear Feedback control and Feedback Linearization) for synchronization of chaotic systems are proposed to attain synchronization between two generalized class of chaotic systems in master-slave configuration. An extensive analysis with systematic comparison between these two techniques are presented in this paper. Time delay is an inherent feature of a physical system, so study of the synchronization problem with time-delayed chaotic systems is the need of the hour. A detailed analysis is proposed for the same. Theoretical results are validated using MATLAB simulations.

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