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Colin Neil Jones

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Related publications (242)

Page 7 of 13

Turnpike and dissipativity properties in dynamic real-time optimization and economic MPC

Dominique Bonvin, Colin Neil Jones, Timm Faulwasser, Milan Korda

We investigate the turnpike and dissipativity properties of continuous-time optimal control problems. These properties play a key role in the analysis and design of schemes for dynamic real-time optimization and economic model predictive control. We show i ...

2014

Data-driven methods for building control - A review and promising future directions

Colin Neil Jones, Yingzhao Lian, Emilio Maddalena

A review of the heating, ventilation and air-conditioning control problem for buildings is presented with particular emphasis on its distinguishing features. Next, we not only examine how data-driven algorithms have been exploited to tackle the main challe ...

2020

From System Level Synthesis to Robust Closed-loop Data-Enabled Predictive Control

Colin Neil Jones, Yingzhao Lian

Willems' fundamental lemma and system level synthesis both characterize a linear dynamic system by its input/output sequences. In this work, we show that the extension of the fundamental lemma in uncertain LTI systems is equivalent to the system level synt ...

IEEE2021

Nonlinear Data-Enabled Prediction and Control

Colin Neil Jones, Yingzhao Lian

Behavioral theory, which characterizes linear dynamics with measured trajectories, has found successful applications in controller design and signal processing. However, the extension of behavioral theory to general nonlinear system remains an open questio ...

PMLR2021

System and method for operating a combination of heterogeneous energy resources for fast grid services

Colin Neil Jones, Ioannis Lymperopoulos, Tomasz Tadeusz Gorecki, Faran Ahmed Qureshi, Luca Fabietti

The present invention concerns a method of controlling a set of electrical power resources in an electrical power grid managed by a power grid operator. The set comprises a first electrical power resource with a first electrical power response frequency an ...

2019

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

Albéric Antoine Marie Louis Joseph Dufaure de Lajarte, 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

A parametric augmented Lagrangian algorithm for real-time economic NMPC

Colin Neil Jones, Jean-Hubert Hours, Harsh Ambarishkumar Shukla

In this paper, a novel optimality-tracking algorithm for solving Economic Nonlinear Model Predictive Control (ENMPC) problems in real-time is presented. Developing online schemes for ENMPC is challenging, since it is unclear how convexity of the Quadratic ...

IEEE2016

MPC of constrained discrete-time linear periodic systems — A framework for asynchronous control: Strong feasibility, stability and optimality via periodic invariance

Colin Neil Jones

State-feedback model predictive control (MPC) of discrete-time linear periodic systems with time-dependent state and input dimensions is considered. The states and inputs are subject to periodically time-dependent, hard, convex, polyhedral constraints. Fir ...

Elsevier2011

Ancillary Services Provision Utilizing a Network of Fast-Charging Stations for Electrical Buses

Colin Neil Jones, Faran Ahmed Qureshi, Altug Bitlislioglu

Fast-charging stations that supply energy to electrical vehicles at high power rates may incorporate energy storage to avoid high currents to the grid and reduce peak-demand costs. We demonstrate the potential for utilizing such infrastructure for the prov ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Multirate sliding mode disturbance compensation for model predictive control

Colin Neil Jones

In this paper, a novel hierarchical multirate control scheme for nonlinear discrete-time systems is presented, consisting of a robust nonlinear model predictive controller (NMPC) and a multirate sliding mode disturbance compensator (MSMDC). The proposed MS ...

Wiley-Blackwell2015

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

Colin Neil Jones, Yuning Jiang, Yingzhao Lian

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

Splitting methods in control

Colin Neil Jones, Ye Pu, Georgios Stathopoulos, Alexander Szücs

The need for optimal control of processes under a restricted amount of resources renders first order optimization methods a viable option. Although computationally cheap, these methods typically suffer from slow convergence rates. In this work we discuss t ...

IEEE2014

Robust Resource-Aware Self-Triggered Model Predictive Control

Colin Neil Jones, Yuning Jiang, Yingzhao Lian

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

A Nonlinear Model Predictive Control Scheme with Multirate Integral Sliding Mode

Colin Neil Jones

In this paper, the Multirate Integral Sliding Mode (MRISM) control strategy for nonlinear discrete-time systems is proposed. The MRISM controller acts at a faster sampling time than a high level controller, and reduces the effect of model uncertainties and ...

2010

Certification of fixed computation time first-order optimization-based controllers for a class of nonlinear dynamical systems

Colin Neil Jones, Milan Korda

This paper proposes a stability verification method for systems controlled by an early terminated first-order method (e.g., an MPC problem approximately solved by a fixed number of iterations of the fast gradient method). The method is based on the observa ...

Ieee2014

Using Flexibility Envelopes for the Demand-Side Hierarchical Optimization of District Heating Networks

Colin Neil Jones

The demand-side control of district heating networks is notoriously challenging due to the large number of connected users and the high number of states to be considered. To overcome these challenges, this paper presents a hierarchical optimization scheme ...

Institute of Electrical and Electronics Engineers Inc.2024

OpenBuildNet Framework for Distributed Co-Simulation of Smart Energy Systems

Colin Neil Jones, Tomasz Tadeusz Gorecki, Faran Ahmed Qureshi, Altug Bitlislioglu, Xuan Truong Nghiem

The complexity and diversity of future energy systems will require co-simulation solutions that enable the integration of tools from multiple domains for research and development. We introduce an open-source framework, OpenBuildNet, for distributed co-simu ...

2016

A multiresolution approximation method for fast explicit model predictive control

Colin Neil Jones

A model predictive control law is given by the solution to a parametric optimization problem that can be pre- computed offline and provides an explicit map from state to control input. In this paper, an algorithm is introduced based on wavelet multiresolut ...

Institute of Electrical and Electronics Engineers2011

Learning Non-Parametric Models with Guarantees: A Smooth Lipschitz Interpolation Approach

Colin Neil Jones, Emilio Maddalena

We propose a non-parametric regression method that does not rely on the structure of the ground-truth, but only on its regularity properties. The methodology can be readily used for learning surrogate models of nonlinear dynamical systems from data, while ...

2019

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