Publications associées à Fonction convexe

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System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

Maryam Kamgarpour, Luca Furieri, Na Li

It is known that the set of internally stabilizing controller

\mathcal{C}_{\text{stab}}

is non-convex, but it admits convex characterizations using certain closed-loop maps: a classical result is the {Youla parameterization}, and two recent notions are t ...

2020

Fonction convexe

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Distributed Design for Decentralized Control using Chordal Decomposition and ADMM

Convergence without Convexity: Sampling, Optimization, and Games

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

Finding Second-Order Stationary Points in Constrained Minimization: A Feasible Direction Approach

Direct FEM-Domain Decomposition Using Convex-to-Concave Spherical Ports for Space Applications

Supply-Power-Constrained Cable Capacity Maximization Using Multi-Layer Neural Networks

On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems

Three-Dimensional Optical Diffraction Tomography With Lippmann-Schwinger Model

Gaussian Multiplicative Chaos Through the Lens of the 2D Gaussian Free Field

Efficient Proximal Mapping of the 1-path-norm of Shallow Networks

Supply-Power-Constrained Cable Capacity Maximization Using Multi-Layer Neural Networks

Convergence without Convexity: Sampling, Optimization, and Games

Gaussian Multiplicative Chaos Through the Lens of the 2D Gaussian Free Field

Finding Second-Order Stationary Points in Constrained Minimization: A Feasible Direction Approach

Distributed Design for Decentralized Control using Chordal Decomposition and ADMM

Direct FEM-Domain Decomposition Using Convex-to-Concave Spherical Ports for Space Applications

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems

Efficient Proximal Mapping of the 1-path-norm of Shallow Networks

Three-Dimensional Optical Diffraction Tomography With Lippmann-Schwinger Model