Publications associées à Discrete-time regional pole-placement using convex approximations: Theory and application to a boost converter

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A first-order primal-dual method with adaptivity to local smoothness

Volkan Cevher, Maria-Luiza Vladarean

We consider the problem of finding a saddle point for the convex-concave objective

\min_x \max_y f(x) + \langle Ax, y\rangle - g^*(y)

, where

f

is a convex function with locally Lipschitz gradient and

g

is convex and possibly non-smooth. We propose an ...

2021

Discrete-time regional pole-placement using convex approximations: Theory and application to a boost converter

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Data-driven LPV Control for Micro-disturbance Rejection in a Hybrid Isolation Platform

Stochastic homogenization of degenerate integral functionals with linear growth

A convex set of robust D—stabilizing controllers using Cauchy's argument principle

A mathematical theory for mass lumping and its generalization with applications to isogeometric analysis

Flow Time Scheduling and Prefix Beck-Fiala

A first-order primal-dual method with adaptivity to local smoothness

Iterative distributed fault detection and isolation for linear systems based on moving horizon estimation

Convex Combination of Diffusion Strategies Over Networks

Sparsity Invariance for Convex Design of Distributed Controllers

Sampling can be faster than optimization

Data-driven LPV Control for Micro-disturbance Rejection in a Hybrid Isolation Platform

Stochastic homogenization of degenerate integral functionals with linear growth

A convex set of robust D—stabilizing controllers using Cauchy's argument principle

Flow Time Scheduling and Prefix Beck-Fiala

A first-order primal-dual method with adaptivity to local smoothness

Convex Combination of Diffusion Strategies Over Networks

Iterative distributed fault detection and isolation for linear systems based on moving horizon estimation

Sampling can be faster than optimization

A mathematical theory for mass lumping and its generalization with applications to isogeometric analysis

Sparsity Invariance for Convex Design of Distributed Controllers