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Use of Transient Measurements for Real-Time Optimization via Modifier Adaptation

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MATHICSE Technical Report : A novel iterative method to approximate structured singular values

Daniel Kressner

A novel method for approximating structured singular values (also known as

\mu

- values) is proposed and investigated. These quantities constitute an important tool in the stability analysis of uncertain linear control systems as well as in structured eig ...

MATHICSE2016

Use of Transient Measurements for Real-Time Optimization via Modifier Adaptation

Graph Chatbot

Chattez avec Graph Search

Modifier adaptation with guaranteed feasibility in the presence of gradient uncertainty

Use of Transient Measurements for Static Real-Time Optimization

Preserving Perceptual Contrast in Decolorization with Optimized Color Orders

Distributed Modifier-Adaptation Schemes for the Real-Time Optimization of Interconnected Systems in the Presence of Structural Plant-Model Mismatch

MATHICSE Technical Report : A novel iterative method to approximate structured singular values

Optimization of mesh hierarchies in multilevel Monte Carlo samplers

MATHICSE Technical Report : Multi space reduced basis preconditioners for large-scale parametrized PDEs

Extension of Modifier Adaptation  for Controlled Plants using Static Open-Loop Models

Fast Estimation of Plant Steady State, with Application to Static RTO

Frank-Wolfe Works for Non-Lipschitz Continuous Gradient Objectives: Scalable Poisson Phase Retrieval

Use of Transient Measurements for Static Real-Time Optimization

Preserving Perceptual Contrast in Decolorization with Optimized Color Orders

Modifier adaptation with guaranteed feasibility in the presence of gradient uncertainty

Distributed Modifier-Adaptation Schemes for the Real-Time Optimization of Interconnected Systems in the Presence of Structural Plant-Model Mismatch

MATHICSE Technical Report : A novel iterative method to approximate structured singular values

MATHICSE Technical Report : Multi space reduced basis preconditioners for large-scale parametrized PDEs

Extension of Modifier Adaptation  for Controlled Plants using Static Open-Loop Models

Frank-Wolfe Works for Non-Lipschitz Continuous Gradient Objectives: Scalable Poisson Phase Retrieval

Fast Estimation of Plant Steady State, with Application to Static RTO

Optimization of mesh hierarchies in multilevel Monte Carlo samplers