Litcius/Paper detail

<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e646" altimg="si7.svg"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e656" altimg="si8.svg"><mml:msub><mml:mrow><mml:mi>l</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math>-<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e666" altimg="si9.svg"><mml:msub><mml:mrow><mml:mi>l</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> state estimation for delayed memristive neural networks on finite horizon: The Round-Robin protocol

Hongjian Liu, Zidong Wang, Weiyin Fei, Jiahui Li

2020Neural Networks29 citationsDOI

Topics & Concepts

EstimatorComputer scienceAlgorithmArtificial neural networkConvex optimizationBounded functionApplied mathematicsMathematical optimizationMathematicsArtificial intelligenceRegular polygonStatisticsMathematical analysisGeometryNeural Networks Stability and SynchronizationAdvanced Memory and Neural ComputingDistributed Control Multi-Agent Systems
<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e646" altimg="si7.svg"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e656" altimg="si8.svg"><mml:msub><mml:mrow><mml:mi>l</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math>-<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e666" altimg="si9.svg"><mml:msub><mml:mrow><mml:mi>l</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> state estimation for delayed memristive neural networks on finite horizon: The Round-Robin protocol | Litcius