Litcius/Paper detail

<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:msub><mml:mi>l</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math> induced norm analysis of discrete-time LTI systems for nonnegative input signals and its application to stability analysis of recurrent neural networks

Yoshio Ebihara, Hayato Waki, Victor Magron, Ngoc Hoang Anh, Dimitri Peaucelle, Sophie Tarbouriech

2021European Journal of Control10 citationsDOI

Topics & Concepts

Norm (philosophy)Semidefinite programmingComputationNonlinear systemMathematicsUpper and lower boundsInvariant (physics)Linear programmingAlgorithmDiscrete mathematicsAlgebra over a fieldApplied mathematicsCombinatoricsPure mathematicsMathematical analysisMathematical optimizationPhysicsMathematical physicsLawPolitical scienceQuantum mechanicsStability and Control of Uncertain SystemsNeural Networks Stability and SynchronizationControl Systems and Identification
<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:msub><mml:mi>l</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math> induced norm analysis of discrete-time LTI systems for nonnegative input signals and its application to stability analysis of recurrent neural networks | Litcius