activity
20182024
most citedFlatland-RL : Multi-Agent Reinforcement Learning on Trains

12 citations · 32 across the 7 of their papers we have counts for

collaborators

11 papers

eess.SY2024

Control of AC-AC interlinking converters for multi-grids

Jeremy Watson, Ioannis Lestas

This paper considers the control of AC-AC inter-linking converters (ILCs) in a multi-grid network. We overview the control schemes in the literature and propose a passivity framewo…

math.OC2023

Inverse Optimal Control and Passivity-Based Design for Converter-Based Microgrids

Liam Hallinan, Jeremy D. Watson, Ioannis Lestas

Passivity-based approaches have been suggested as a solution to the problem of decentralised control design in many multi-agent network control problems due to the plug- and-play f…

math.OC2022★ 9 cited

Distributed Optimal Secondary Frequency Control in Power Networks with Delay Independent Stability

Mengmou Li, Jeremy Watson, Ioannis Lestas

Distributed secondary frequency control for power systems, is a problem that has been extensively studied in the literature, and one of its key features is that an additional commu…

math.OC2021

A Distributed Scheme for Voltage and Frequency Control and Power Sharing in Inverter Based Microgrids

Yemi Ojo, Jeremy D. Watson, Khaled Laib +1

Grid-forming inverter-based autonomous microgrids present new operational challenges as the stabilizing rotational inertia of synchronous machines is absent. The design of efficien…

math.OC2021

Decentralized Stability Conditions for DC Microgrids: Beyond Passivity Approaches

Khaled Laib, Jeremy Watson, Yemi Ojo +1

We consider the problem of ensuring stability in a DC microgrid by means of decentralized conditions. Such conditions are derived which are formulated as input-output properties of…

cs.AI2021★ 6 cited

Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World

Florian Laurent, Manuel Schneider, Christian Scheller +24

The Flatland competition aimed at finding novel approaches to solve the vehicle re-scheduling problem (VRSP). The VRSP is concerned with scheduling trips in traffic networks and th…