GitHub

README.md

This repository contains code for the Lipschitz constant estimation semidefinite programming framework introduced in LipSDP by Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, and ...
IEEE

Adaptive Neural Stochastic Control With Lipschitz Constant Optimization

Abstract: An adaptive neural stochastic contraction metric with Lipschitz constant optimization (aNSCM-Lip) is proposed for It stochastic systems with unmatched parameter uncertainties. The adaptive ...
GitHub

Can-ZHOU/LipSDP_python

This repository contains code for the Lipschitz constant estimation semidefinite programming framework introduced in LipSDP by Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, and ...
Scientific Research Publishing

An Algorithm for Global Optimization Using Formula Manupulation ()

Constrained nonlinear optimization problems are well known as very difficult problems. In this paper, we present a new algorithm for solving such problems. Our proposed algorithm combines the ...
Frontiers

Multivariate Lipschitz Analysis of the Stability of Neural Networks

1 Inria, Centre de Vision Numérique, CentraleSupélec, Université Paris-Saclay, Gif-sur-Yvette, France 2 Air Mobility Solutions BL, Thales LAS, Rungis, France The stability of neural networks with ...
IEEE

Representative sample formation with the use of Kohonen self-organizing map and Lipschitz ...

Abstract: The paper considers the issue of effective formation of a representative sample to train a neural network of a multilayer perceptron (MLP). As it is known, the key problem of MLP training is ...
Scientific Research Publishing

L. Coroianu, “Best Lipschitz Constant of the Trapezoidal Approximation Operator ...

ABSTRACT: In this paper, we introduce a method to obtain the nearest trapezoidal approximation of fuzzy numbers so that preserving conditions expect interval and include the core of a fuzzy number.