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Cluster synchronization of fractional-order complex networks via uncertainty and disturbance estimator-based modified repetitive control, Journal of the Franklin Institute

Publication Type : Journal

Publisher : Elsevier

Source : Journal of the Franklin Institute

Url : https://www.sciencedirect.com/science/article/pii/S0016003221006001?casa_token=KMaufJ6K1lUAAAAA:ivMEfb9nAQyzMfK4yLNVkh5eK1HTryZuqNgmcOmXIv0PfyRto_LSdjY7w71sB36sgW9LNJ2K4GQ

Campus : Chennai

School : School of Engineering

Year : 2021

Abstract : The combined problems of cluster synchronization and disturbance rejection for a family of fractional-order complex networks subject to coupling delay, unknown uncertainty and disturbances (UDs) are examined in this study. In particular, the existence of coupling delay is taken into the account with both known and unknown cases. First, a new uncertainty and disturbance estimator (UDE)-based control protocol is formulated for the concerned system to estimate and compensate for the effects of UD. Although the UDE strategy has proven to be a viable tool to deal with slowly changing UDs in control design, the presence of rapidly changing UDs or sinusoidal disturbances is not an effective tool. A well-known modified iterative control (MRC) block is built internally in a closed feedback control loop to solve this problem. After implementing UDE and MRC blocks into the feedback loop, the resulting system becomes almost UD-free. Moreover, a set of sufficient linear matrix inequality constraints are established to ensure the cluster synchronization of the resulting system. Lastly, the benefits, feasibility and robustness of the established UDE-based MRC scheme are confirmed by two illustrative examples.

Cite this Research Publication : P. Selvaraj, O.M. Kwon, S.H. Lee, and R. Sakthivel, Cluster synchronization of fractional-order complex networks via uncertainty and disturbance estimator-based modified repetitive control, Journal of the Franklin Institute, 358 (18), 9951-9974, Dec. 2021. (IF: 4.1) ISSN 0016-0032

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