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Clive Roberts

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Executive Dean

University of Durham

United Kingdom

Research Interests

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About

Clive Roberts is an Associate Professor at The University of Birmingham, United Kingdom. His research focuses on advanced state estimation methods and control techniques in railway systems, particularly for high-speed train operations. Recent publications include work on the design of high-precision Kalman filters and the modeling of railway turnout systems. He is also exploring innovative approaches to fault diagnosis in railway machinery using machine learning techniques.

Recent Grants

Grant: Close

CONTINUUM - CONnected Transport and Integrated User-centric Urban Mobility

Open Date: 2020-05-31

Close Date: 2020-08-30

Grant: Close

UK National Quantum Technology Hub in Sensing and Timing

Open Date: 2019-12-01

Close Date: 2024-11-30

Grant: Close

Decarbonising Transport through Electrification, a Whole System Approach (DTE)

Open Date: 2019-08-31

Close Date: 2022-08-30

Grant: Close

The science and analytical tools to design long life, low noise railway track systems

Open Date: 2015-05-31

Close Date: 2021-05-30

Grant: Close

SCEPTICS: A SystematiC Evaluation Process for Threats to Industrial Control Systems

Open Date: 2014-09-30

Close Date: 2017-12-31

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Collaborators (7)

Zhongbei Tian

Associate Professor in Transport Energy Systems

University of Birmingham

UNITED KINGDOM

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John Easton

Heriot-Watt University

UNITED KINGDOM

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Heather Steele

University of Durham

UNITED KINGDOM

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Edd Stewart

University of Birmingham

UNITED KINGDOM

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Mani Entezami

University of Birmingham

UNITED KINGDOM

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Tegoeh Tjahjowidodo

Associate Professor

KU Leuven

BELGIUM

View details

David Flynn

Professor of Cyber Physical Systems

University of Glasgow

UNITED KINGDOM

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Clive Roberts

Research Interests

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About

Recent Grants

Articles (28)

A Transformer Network Based on Multiscale Wavelet Attention for Electromagnetic Relay Prognostics

A two-step transfer learning approach for railway point machine fault diagnosis under small sample conditions

A Co-Created Framework to Define Digital Twinning Use Cases for Urban Transport Decarbonisation

A High-Precision Deep Kalman Filter Design for Nonlinear Train Operation State Estimation

Cross-Term Correlations Considered Extended Kalman Filter for High-Speed Train State Estimation

A Dynamic Estimation Method for the Headway of Virtual Coupling Trains Utilizing the High-Order Extended Kalman Filter-Based Smoother

A High-Order Extended Kalman Filtering-Enabled Nonlinear State Estimation Method for High-Speed Trains Considering Multiple Operating Phases

A Polynomial Recursive Nonlinear Least-Squares Algorithm for High-Accuracy Parameter Identification of Heavy-Haul Train Dynamics

Accurate Modeling of Railway Turnout Systems and High-Precision State Estimation Methods

High-Precision Model Predictive Control for High-Speed Trains Utilizing LSTM-Based Fixed-Lag Kalman Smoother With a Multi-Point Mass Model

Real‐Time Multi‐Train Trajectory Optimisation and Delay Recovery Using SH‐MPC Integrated With Genetic Algorithms

A novel multi-agent-based approach for train rescheduling in large-scale railway networks

Railway Point Machines Fault Diagnosis Based on Fractional Fourier Transform

Experiences Using MEMS Accelerometers on Railway Bearers at Switches and Crossings to Obtain Displacement—Awkward Situations

Comments on “High-Speed Train Positioning Using Deep Kalman Filter With 5G NR Signals”

A Sequential and Asynchronous Federated Learning Framework for Railway Point Machine Fault Diagnosis With Imperfect Data Transmission

High-Speed Train Positioning Using Improved Extended Kalman Filter With 5G NR Signals

A Survey on Process Modelling, Innovation, Design, and Material Characterisation in Additive Manufacturing

A Survey on Process Modelling, Innovation, Design, and Material Characterisation in Additive Manufacturing

Deep Targeted Transfer Learning Along Designable Adaptation Trajectory for Fault Diagnosis Across Different Machines

Stimulus Perception in Long-Distance Railway Mode Choice

An Improved VMD Method for Use with Acoustic Impact Response Signals to Detect Corrosion at the Underside of Railway Tracks

Deep Learning and Laser-Based 3-D Pixel-Level Rail Surface Defect Detection Method

High-Precision State Estimator Design for the State of Gaussian Linear Systems Based on Deep Neural Network Kalman Filter

Guest Editorial: Special Section on Toward Low Carbon Industrial and Social Economy of Energy-Transportation Nexus

Techno-Economic Analysis of Hydrogen Storage Technologies for Railway Engineering: A Review

A Survey on Automatic Inspections of Overhead Contact Lines by Computer Vision

Timetable Optimization and Trial Test for Regenerative Braking Energy Utilization in Rapid Transit Systems

Collaborators (7)

Zhongbei Tian

John Easton

Heather Steele

Edd Stewart

Mani Entezami

Tegoeh Tjahjowidodo

David Flynn

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