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Finite-Time Output Synchronization and H<sub>∞</sub> Output Synchronization of Coupled Neural Networks With Multiple Output Couplings

Jin-Liang Wang, Qing Wang, Huai‐Ning Wu, Tingwen Huang

2020IEEE Transactions on Cybernetics62 citationsDOI

Abstract

This article investigates the finite-time output synchronization and <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> output synchronization problems for coupled neural networks with multiple output couplings (CNNMOC), respectively. By choosing appropriate state feedback controllers, several finite-time output synchronization and <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> output synchronization criteria are proposed for the CNNMOC. Moreover, a coupling-weight adjustment scheme is also developed to guarantee the finite-time output synchronization and <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> output synchronization of CNNMOC. Finally, two numerical examples are given to verify the effectiveness of the presented criteria.

Topics & Concepts

Synchronization (alternating current)Control theory (sociology)Artificial neural networkComputer scienceCoupling (piping)State (computer science)MathematicsTopology (electrical circuits)Control (management)AlgorithmEngineeringArtificial intelligenceCombinatoricsMechanical engineeringNeural Networks Stability and SynchronizationAdvanced Memory and Neural ComputingNeural Networks and Applications