Litcius/Paper detail

<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si3.svg" display="inline" id="d1e3114"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> control for fractional order neural networks with uncertainties subject to deception attacks via Improved memory-event-triggered scheme and Its application

K. Asmiya Banu, T. Aparna, M. Mubeen Tajudeen, Grienggrai Rajchakit, Tingwen Huang

2024Neural Networks55 citationsDOI

Topics & Concepts

Scalable Vector GraphicsComputer scienceAlgorithmArtificial intelligenceMathematicsComputer graphics (images)World Wide WebNeural Networks Stability and SynchronizationAdvanced Memory and Neural ComputingNeural Networks and Applications
<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si3.svg" display="inline" id="d1e3114"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> control for fractional order neural networks with uncertainties subject to deception attacks via Improved memory-event-triggered scheme and Its application | Litcius