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SYSTEMS & CONTROL LETTERS
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
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APPLIED MATHEMATICS AND COMPUTATION
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IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
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Summary: This article investigates the issue of finite-time synchronization of complex dynamical networks (CDNs) and proposes a new control strategy that combines weak finite-time control with finite times of impulsive control to achieve finite-time synchronization of CDNs. The proposed strategy synchronizes the impulses within a maximal impulsive interval (MII), which is different from existing results. Global and local criteria for finite-time synchronization are established using the concept of impulsive degree. The optimal values for the times of impulsive control in the controllers and the settling time are derived based on initial values. The article also introduces a technical lemma that reflects the core idea. Finally, a simulation example is provided to demonstrate the main results.
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(2022)
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