4.6 Article

H∞ Exponential Synchronization of Complex Networks: Aperiodic Sampled-Data-Based Event-Triggered Control

Journal

IEEE TRANSACTIONS ON CYBERNETICS
Volume 52, Issue 8, Pages 7968-7980

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2021.3052098

Keywords

Synchronization; Complex networks; Quantization (signal); Control systems; Delays; System performance; Couplings; H∞ exponential synchronization; Aperiodic sampling; complex networks; event-triggered control; quantized control

Funding

  1. National Natural Science Foundation of People's Republic of China [U1703262, 61866036, 62006196, 61963033]
  2. Tianshan Innovation Team Program [2020D14017]
  3. Tianshan Xuesong Program [2018XS02]

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This article investigates the H infinity exponential synchronization problem for complex networks with quantized control input, introducing an aperiodic sampled-data-based event-triggered scheme to reduce network workload. A new method based on the discrete-time Lyapunov theorem is employed to solve the sampled-data problem, deriving several sufficient conditions to ensure H infinity exponential synchronization. Numerical simulations demonstrate that the proposed control schemes are effective in reducing the amount of transmitted signals while maintaining desired system performance.
This article studies the H infinity exponential synchronization problem for complex networks with quantized control input. An aperiodic sampled-data-based event-triggered scheme is introduced to reduce the network workload. Based on the discrete-time Lyapunov theorem, a new method is adopted to solve the sampled-data problem. In view of the aforementioned method, several sufficient conditions to ensure the H infinity exponential synchronization are acquired. Numerical simulations show that the proposed control schemes can significantly reduce the amount of transmitted signals while preserving the desired system performance.

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