Litcius/Paper detail

<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e260" altimg="si3.svg"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> synchronization of delayed neural networks via event-triggered dynamic output control

Yachun Yang, Zhengwen Tu, Liangwei Wang, Jinde Cao, Lei Shi, Wenhua Qian

2021Neural Networks17 citationsDOI

Topics & Concepts

Scalable Vector GraphicsComputer scienceSynchronization (alternating current)Controller (irrigation)AlgorithmArtificial neural networkEvent (particle physics)Generator (circuit theory)Event generatorArtificial intelligenceMathematicsStatisticsQuantum mechanicsPhysicsComputer networkPower (physics)Monte Carlo methodAgronomyChannel (broadcasting)BiologyOperating systemNeural Networks Stability and SynchronizationAdvanced Memory and Neural ComputingStability and Control of Uncertain Systems
<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e260" altimg="si3.svg"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> synchronization of delayed neural networks via event-triggered dynamic output control | Litcius