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Colin Jones

Associate Professor

École Polytechnique Fédérale de Lausanne

Switzerland

Research Interests

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Professors in Switzerland Professors in Energy Engineering Energy Engineering professors in Switzerland

About

Colin Jones is an Associate Professor at École Polytechnique Fédérale de Lausanne in Switzerland. His research interests encompass various areas, including model predictive control for embedded systems, neural networks for battery health estimation, and decentralized learning methods. He has contributed to advancing distributed power flow optimization and developed robust optimization techniques for energy systems. His recent publications reflect a strong emphasis on data-driven methodologies and control systems.

Articles (23)

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Collaborators (4)

Ying Xue

Assistant Professor

University of Birmingham

UNITED KINGDOM

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Xiao-Ping Zhang

Professor

University of Birmingham

UNITED KINGDOM

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Thorsten Schlachter

Karlsruhe Institute of Technology

GERMANY

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GIANCARLO FERRARI TRECATE

Professor

École Polytechnique Fédérale de Lausanne

SWITZERLAND

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Colin Jones

Research Interests

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About

Articles (23)

Distributed Convex Second-Order Optimization for AC/DC Hybrid Distribution Systems Within PROcess Orchestration Framework

Neural process model predictive control

Federated Linear Bandit Learning via UAV Aided Over-the-Air Computation

Frequency control with aggregated heat pumps in buildings: A comparison of complex and simple control strategies

Distributed Real-Time Cooperative Model Predictive Control

Disturbance-Adaptive Data-Driven Predictive Control: Trading Comfort Violation for Savings in Building Climate Control

Fast and Lightweight: A real-time parallelizable MPC for embedded systems

Physically enhanced neural network for lithium-ion battery state of health estimation

SIMBa: System Identification Methods Leveraging Backpropagation

Advancing Distributed AC Optimal Power Flow for Integrated Transmission-Distribution Systems

Data-Driven Joint Distributionally Robust Chance-Constrained Operation for Multiple Integrated Electricity and Heating Systems

Decentralized Over-the-Air Federated Learning by Second-Order Optimization Method

Robustly Learning Regions of Attraction From Fixed Data

On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller

Self-triggered Control with Energy Harvesting Sensor Nodes

Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach

A Proximal-Point Lagrangian-Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control

Adaptive Robust Data-Driven Building Control via Bilevel Reformulation: An Experimental Result

Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-Based Filters

Stability Verification of Neural Network Controllers Using Mixed-Integer Programming

Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Grids Using ALADIN

Over-the-Air Federated Learning via Second-Order Optimization

Distributionally Robust Joint Chance-Constrained Dispatch for Integrated Transmission-Distribution Systems via Distributed Optimization

Collaborators (4)

Ying Xue

Xiao-Ping Zhang

Thorsten Schlachter

GIANCARLO FERRARI TRECATE

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