activity
20192025
most cited Induced Norm Analysis of Discrete-Time LTI Systems for Nonnegative Input Signals and Its Application to Stability Analysis of Recurrent Neural Networks

8 citations · 9 across the 7 of their papers we have counts for

collaborators

8 papers

eess.SY2025

Identification of contractive Lur'e-type systems via kernel-based Lipschitz design

Cesare Donati, Fabrizio Dabbene, Constantino Lagoa +2

This paper addresses the problem of identifying contractive Lur'e-type systems. Specifically, it proposes an identification framework that integrates linear prior knowledge with a…

math.OC2024

LMI hierarchies for stability analysis of ReLU feedback systems

Victor Magron, Yoshio Ebihara, Shingo Nishinaka +4

We consider the stability analysis of feedback systems with rectified linear unit (ReLU) activations, and model this problem with polynomial optimization. Stability can be certifie…

math.OC2024★ 1 cited

Induced Norm Analysis of Continuous-Time LTI Systems Using Positive Filters and Copositive Programming

Yoshio Ebihara, Hayato Waki, Noboru Sebe +3

This paper is concerned with the analysis of the induced norm of continuous-time LTI systems where the input signals are restricted to be nonnegative. This induced norm is…

math.OC2023

Local Lipschitz Constant Computation of ReLU-FNNs: Upper Bound Computation with Exactness Verification

Yoshio Ebihara, Xin Dai, Victor Magron +2

This paper is concerned with the computation of the local Lipschitz constant of feedforward neural networks (FNNs) with activation functions being rectified linear units (ReLUs). T…

math.OC2022

Tractable semidefinite bounds of positive maximal singular values

Victor Magron, Ngoc Hoang Anh Mai, Yoshio Ebihara +1

We focus on computing certified upper bounds for the positive maximal singular value (PMSV) of a given matrix. The PMSV problem boils down to maximizing a quadratic polynomial on t…

math.OC2022

Stability Analysis of Recurrent Neural Networks by IQC with Copositive Mutipliers

Yoshio Ebihara, Hayato Waki, Victor Magron +3

This paper is concerned with the stability analysis of the recurrent neural networks (RNNs) by means of the integral quadratic constraint (IQC) framework. The rectified linear unit…