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Colin Neil Jones

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Related publications (246)

Stability Verification of Neural Network Controllers using Mixed-Integer Programming

Colin Neil Jones, Daniel Kuhn, Roland Schwan

We propose a framework for the stability verification of Mixed-Integer Linear Programming (MILP) representable control policies. This framework compares a fixed candidate policy, which admits an efficient parameterization and can be evaluated at a low comp ...

2023

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

Colin Neil Jones, Yuning Jiang, Xinliang Dai

The increasing application of voltage source converter (VSC) based high voltage direct current (VSC-HVDC) technology in power grids has raised the importance of incorporating DC grids and converters into the existing transmission network. This poses signif ...

IEEE Institute of Electrical and Electronics Engineers2022

Robust Resource-Aware Self-Triggered Model Predictive Control

Colin Neil Jones, Yingzhao Lian, Yuning Jiang

The wide adoption of wireless devices in the Internet of Things requires controllers that are able to operate with limited resources, such as battery life. Operating these devices robustly in an uncertain environment, while managing available resources, in ...

2022

Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control

Colin Neil Jones

Replacing poorly performing existing controllers with smarter solutions will decrease the energy intensity of the building sector. Recently, controllers based on Deep Reinforcement Learning (DRL) have been shown to be more effective than conventional basel ...

IEEE2022

Experimental data-driven model predictive control of a hospital HVAC system during regular use

Christophe Salzmann, Colin Neil Jones, Emilio Maddalena

Herein we report a multi-zone, heating, ventilation and air-conditioning (HVAC) control case study of an industrial plant responsible for cooling a hospital surgery center. The adopted approach to guaranteeing thermal comfort and reducing electrical energy ...

2022

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

Colin Neil Jones, Yuning Jiang

Federated learning (FL) is a promising learning paradigm that can tackle the increasingly prominent isolated data islands problem while keeping users' data locally with privacy and security guarantees. However, FL could result in task-oriented data traffic ...

2022

Optimal Thrust Vector Control of an Electric Small-Scale Rocket Prototype

Colin Neil Jones, Petr Listov, Roland Schwan

Recent advances in Model Predictive Control (MPC) algorithms and methodologies, combined with the surge of computational power of available embedded platforms, allows the use of real-time optimization-based control of fast mechatronic systems. This paper p ...

IEEE2022

Scheduling Delays and Curtailment for Household Appliances With Deterministic Load Profiles Using MPC

Colin Neil Jones, Yingzhao Lian, Yuning Jiang

Smart home appliances can time-shift and curtail their power demand to assist demand side management or allow operation with limited power, as in an off-grid application. This letter proposes a scheduling process to start appliances with time-varying deter ...

2022

Physically Consistent Neural Networks for building thermal modeling: Theory and analysis

Colin Neil Jones

2022

Distributed adjustable robust optimal power-gas flow considering wind power uncertainty

Colin Neil Jones, Yuning Jiang

The rapid uptake of natural gas-fired units in energy systems poses significant challenges in coordinating the electricity and gas systems. Besides, the uncertainty caused by integrated renewable energy such as wind power raises more requirements on the ro ...

2022

Optimal Thrust Vector Control of an Electric Small-Scale Rocket Prototype

Colin Neil Jones, Petr Listov, Roland Schwan

IEEE2022

Real-time Nonlinear MPC Strategy with Full Vehicle Validation for Autonomous Driving

Colin Neil Jones, Petr Listov

In this paper, we present the development and deployment of an embedded optimal control strategy for autonomous driving applications on a Ford Focus road vehicle. Non-linear model predictive control (NMPC) is designed and deployed on a system with hard rea ...

IEEE2022

VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints

Colin Neil Jones, Wenjie Xu

We study the problem of performance optimization of closed-loop control systems with unmodeled dynamics. Bayesian optimization (BO) has been demonstrated effective for improving closed-loop performance by automatically tuning controller gains or reference ...

IEEE2022

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

Colin Neil Jones, Yuning Jiang

This paper focuses on the distributionally robust dispatch for integrated transmission-distribution (ITD) systems via distributed optimization. Existing distributed algorithms usually require synchronization of all subproblems, which could be hard to scale ...

2022

Data-Driven Input Reconstruction and Experimental Validation

Colin Neil Jones, Yingzhao Lian, Jicheng Shi

This letter proposes a data-driven input reconstruction method from outputs (IRO) based on the Willems' Fundamental Lemma. Given only output measurements, the unknown inputsestimated recursively by the IRO asymptotically converge to the true input without ...

2022

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

Colin Neil Jones, Emilio Maddalena, Paul Scharnhorst, Yuning Jiang

2022

Data-driven distributionally robust joint chance-constrained energy management for multi-energy microgrid

Colin Neil Jones, Yuning Jiang

Multi-energy microgrid (MEMG) has the potential to improve the energy utilization efficiency. However, the uncertainty caused by distributed renewable energy resources brings an urgent need for multi-energy co -optimization to ensure secure operation. This ...

2022

Distributed model predictive control of buildings and energy hubs

Colin Neil Jones

Model predictive control (MPC) strategies can be applied to the coordination of energy hubs to reduce their energy consumption. Despite the effectiveness of these techniques, their potential for energy savings are potentially underutilized due to the fact ...

ELSEVIER SCIENCE SA2022

Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning

Colin Neil Jones, Yuning Jiang

Federated learning (FL), as an emerging edge artificial intelligence paradigm, enables many edge devices to collaboratively train a global model without sharing their private data. To enhance the training efficiency of FL, various algorithms have been prop ...

2022

Asynchronous decentralized adjustable robust operation for multi-area integrated electricity-gas systems considering wind power uncertainty

Colin Neil Jones, Yuning Jiang

Modern energy infrastructure has evolved into an integrated electricity and natural gas systems (IEGS), which often encompasses multiple geographically-diverse energy areas. This paper focuses on the decentralized adjustable robust operation problem for mu ...

2022

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