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Anton Selivanov

Lecturer in Control and Systems Engineering

University of Sheffield

United Kingdom

Research Interests

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About

Anton Selivanov is a Lecturer at The University of Sheffield, UK. His research areas include boundary control of partial differential equations, multi-agent systems, and the extraction of pharmacological information from Russian-language reviews. Recent articles highlight his work on guaranteed cost boundary control, improved residual mode separation, and the accuracy analysis of named entity extraction in biomedical texts.

Articles (17)

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2026

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2026

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2022

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2021

Collaborators (1)

Emilia Fridman

Prof

Tel Aviv University

ISRAEL

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Anton Selivanov

Research Interests

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Articles (17)

Finite‐Dimensional Adaptive Observer Design for Euler–Bernoulli Beams With Sensor Delay

Control in the Presence of Delays

PDE-based deployment of multi-agent systems with enhanced leader communication and Wentzell boundary control

Using Delay for Control

Improved residual mode separation for finite-dimensional control of PDEs: Application to the Euler–Bernoulli beam

Finite-dimensional boundary control for 1-D semilinear wave equation

Finite-Dimensional Boundary Control of a Wave Equation With Viscous Friction and Boundary Measurements

Finite-Dimensional Boundary Control of a Wave Equation With Viscous Friction and Boundary Measurements

Guaranteed Cost Boundary Control of the Semilinear Heat Equation

Guaranteed cost boundary control of the semilinear heat equation

Accuracy Analysis of the End-to-End Extraction of Related Named Entities from Russian Drug Review Texts by Modern Approaches Validated on English Biomedical Corpora

PDE-Based Deployment of Multiagents Measuring Relative Position to One Neighbor

PDE-based deployment of multiagents measuring relative position to one neighbor

Adverse Drug Reaction Concept Normalization in Russian-Language Reviews of Internet Users

Extraction of the Relations among Significant Pharmacological Entities in Russian-Language Reviews of Internet Users on Medications

Analysis of the Full-Size Russian Corpus of Internet Drug Reviews with Complex NER Labeling Using Deep Learning Neural Networks and Language Models

Boundary Delayed Observer-Controller Design for Reaction–Diffusion Systems

Collaborators (1)

Emilia Fridman

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