Litcius/Paper detail

<i>H<sub>∞</sub> </i> Exponential Synchronization of Complex Networks: Aperiodic Sampled-Data-Based Event-Triggered Control

Jiarong Li, Haijun Jiang, Jinling Wang, Cheng Hu, Guoliang Zhang

2021IEEE Transactions on Cybernetics35 citationsDOI

Abstract

This article studies the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> 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 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> 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.

Topics & Concepts

Aperiodic graphSynchronization (alternating current)Control theory (sociology)Computer scienceExponential functionScheme (mathematics)Intermittent controlLyapunov functionControl (management)MathematicsTopology (electrical circuits)Control engineeringArtificial intelligenceEngineeringMathematical analysisNonlinear systemQuantum mechanicsCombinatoricsPhysicsNeural Networks Stability and SynchronizationNonlinear Dynamics and Pattern FormationStability and Control of Uncertain Systems