Slater's condition

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

In this paper, a new data-driven method for designing robust controllers is proposed for systemswith sector-bounded nonlinearities and multimodel uncertainties. The results from the circle criterion are used to generate necessary and sufficient convex cons ...

WILEY2019

The Minimization of Public Facilities With Enhanced Genetic Algorithms Using War Elimination

Michael Mark

In this paper, we focus on the problem of minimizing a network of state facilities that provide essential public services (schools, offices, and hospitals). The goal is to reduce the size of the network in order to minimize the costs associated with it. Ho ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees

Nisheeth Vishnoi, Laura Elisa Celis, Vijay Keswani, Lingxiao Huang

Developing classification algorithms that are fair with respect to sensitive attributes of the data is an important problem due to the increased deployment of classification algorithms in societal contexts. Several recent works have focused on studying cla ...

ASSOC COMPUTING MACHINERY2019

Comparing genomes with rearrangements and segmental duplications

Bernard Moret, Mingfu Shao

Motivation: Large-scale evolutionary events such as genomic rearrange. ments and segmental duplications form an important part of the evolution of genomes and are widely studied from both biological and computational perspectives. A basic computational pro ...

Oxford University Press2015

A Data-Driven Approach in Designing RST Controllers with H∞ Performance via Convex Optimization

Alireza Karimi, Achille Nicoletti, Zlatko Emedi

In this paper, a new method for designing robust fixed-order

\mathcal{H}_{\infty}

discrete-time controllers is presented. The controller structure is a two-degree of freedom polynomial controller of the

RST

type. A data-driven approach is implemented f ...

IEEE2015

H∞ smith predictor design for time-delayed MIMO systems via convex optimization

Alireza Karimi, Achille Nicoletti

A new method for robust fixed-order H∞ controller design for uncertain time-delayed MIMO systems is presented. It is shown that the H∞ robust performance condition can be represented by a set of convex constraints with respect to the parameters of a linear ...

IEEE2014

On the DCJ Median Problem

Bernard Moret, Mingfu Shao

As many whole genomes are sequenced, comparative genomics is moving from pairwise comparisons to multiway comparisons framed within a phylogenetic tree. A central problem in this process is the inference of data for internal nodes of the tree from data giv ...

Springer-Verlag Berlin2014

Data-driven model reference control with asymptotically guaranteed stability

Dominique Bonvin, Alireza Karimi, Klaske van Heusden

This paper presents a data-driven controller tuning method that includes a set of constraints for ensuring closed-loop stability. The approach requires a single experiment and can also be applied to nonminimum-phase or unstable systems. The tuning scheme u ...

Wiley-Blackwell2011

A Data-Driven Approach in Designing RST Controllers with H∞ Performance via Convex Optimization

Alireza Karimi, Achille Nicoletti, Zlatko Emedi

In this paper, a new method for designing robust fixed-order

\mathcal{H}_{\infty}

discrete-time controllers is presented. The controller structure is a two-degree of freedom polynomial controller of the

RST

type. A data-driven approach is implemented f ...

IEEE2015

Slater's condition

Graph Chatbot

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

The Minimization of Public Facilities With Enhanced Genetic Algorithms Using War Elimination

Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees

Comparing genomes with rearrangements and segmental duplications

A Data-Driven Approach in Designing RST Controllers with H∞ Performance via Convex Optimization

Constrained convex minimization via model-based excessive gap

H∞ smith predictor design for time-delayed MIMO systems via convex optimization

On the DCJ Median Problem

Robust H-infinity Controller Design Using Frequency-Domain Data

Data-driven model reference control with asymptotically guaranteed stability

Comparing genomes with rearrangements and segmental duplications

Constrained convex minimization via model-based excessive gap

On the DCJ Median Problem

A Data-Driven Approach in Designing RST Controllers with H∞ Performance via Convex Optimization

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees

The Minimization of Public Facilities With Enhanced Genetic Algorithms Using War Elimination

Robust H-infinity Controller Design Using Frequency-Domain Data

Data-driven model reference control with asymptotically guaranteed stability

H∞ smith predictor design for time-delayed MIMO systems via convex optimization