Home

Person

Colin Neil Jones

This person has left EPFL

About
Privacy
Disclaimer

Graph Chatbot

Related publications (242)

Page 8 of 13

Convergence rates of moment-sum-of-squares hierarchies for optimal control problems

Colin Neil Jones, Milan Korda

We study the convergence rate of the moment-sum-of-squares hierarchy of semidefinite programs for optimal control problems with polynomial data. It is known that this hierarchy generates polynomial under-approximations to the value function of the optimal ...

Elsevier Science Bv2017

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning

Colin Neil Jones, Yingzhao Lian, Emilio Maddalena, Loris Di Natale, Jicheng Shi

This manuscript offers the perspective of experimentalists on a number of modern data-driven techniques: model predictive control relying on Gaussian processes, adaptive data-driven control based on behavioral theory, and deep reinforcement learning. These ...

2023

Untitled

Colin Neil Jones, Melanie Nicole Zeilinger

IEEE2010

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

Distributed data-driven predictive control for cooperatively smoothing mixed traffic flow

Colin Neil Jones, Yuning Jiang, Yingzhao Lian

Cooperative control of connected and automated vehicles (CAVs) promises smoother traffic flow. In mixed traffic, where human-driven vehicles with unknown dynamics coexist, datadriven predictive control techniques allow for CAV safe and optimal control with ...

Pergamon-Elsevier Science Ltd2023

Reverse Search for Parametric Linear Programming

Colin Neil Jones

This paper introduces a new enumeration technique for (multi)parametric linear programs (pLPs) based on the reverse-search paradigm. We prove that the proposed algorithm has a computational complexity that is linear in the size of the output (number of so- ...

IEEE2006

Flexible triangular formation keeping of marine robotic vehicles using range measurements

Colin Neil Jones, Jorge Miguel Dias Almeida Rodrigues Soares, Francisco Fernandes Castro Rego

This paper addresses the problem of keeping an autonomous marine vehicle in a moving triangular formation by regulating its position with respect to two leader vehicles. The follower vehicle has no prior knowledge of the path described by the leaders but h ...

2014

Constrained spectrum control using MPC

Colin Neil Jones, Jean-Hubert Hours

Well-known model predictive control (MPC) theory for constrained linear time-invariant (LTI) systems is extended to accommodate hard constraints and cost penalizations on the spectra of the system’s output trajectories. Thus the proposed method facilitates ...

2011

Solving the infinite-horizon constrained LQR problem using splitting techniques

Colin Neil Jones, Milan Korda, Georgios Stathopoulos

This paper presents a method to solve the constrained infinite-time linear quadratic regulator (LQR) problem. We use an operator splitting technique, namely the alternating minimization algorithm (AMA), to split the problem into an unconstrained LQR proble ...

Elsevier2014

Resource-Aware Asynchronous Multi-Agent Coordination via Self-Triggered MPC

Colin Neil Jones, Yuning Jiang, Yingzhao Lian

In many applications, resource-aware devices are connected through a network, such as in the Internet of Things and energy hubs. These devices require proper coordination to achieve a high performance without violation of their resource limits. In this pap ...

IEEE2020

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

Colin Neil Jones, Yingzhao Lian, Jicheng Shi

Data-driven control can facilitate the rapid development of controllers, offering an alternative to conventional approaches. In order to maintain consistency between any known underlying physical laws and a data-driven decision-making process, preprocessin ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

A nonlinear model predictive control scheme for sensor fault tolerance in observation processes

Colin Neil Jones, Andrea Alessandretti

This article addresses the problem of designing a sensor fault-tolerant controller for an observation process where a primary, controlled system observes, through a set of measurements, an exogenous system to estimate the state of this system. We consider ...

WILEY2020

Dispatching active distribution networks through electrochemical storage systems and demand side management

Mario Paolone, Colin Neil Jones, Fabrizio Sossan, Emil Namor, Tomasz Tadeusz Gorecki, Luca Fabietti

In this paper, the problem of dispatching the operation of a distribution feeder comprising a set of heterogeneous resources is investigated. In particular, the main objective is to track a 5-minute resolution trajectory, called the \textit{dispatch plan} ...

2017

SOStab: A Matlab toolbox for transient stability analysis

Colin Neil Jones

This paper presents a new Matlab toolbox, aimed at facilitating the use of polynomial optimization for stability analysis of nonlinear systems. In the past decade several decisive contributions made it possible to recast this type of problems as convex opt ...

Elsevier2024

Operator Splitting Methods in Control

Colin Neil Jones, Ye Pu, Georgios Stathopoulos, Harsh Ambarishkumar Shukla

2016

CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints

Colin Neil Jones, Yuning Jiang, Wenjie Xu

In this paper, the CONFIG algorithm, a simple and provably efficient constrained global optimization algorithm, is applied to optimize the closed-loop control performance of an unknown system with unmodeled constraints. Existing Gaussian process based clos ...

Elsevier2023

Multiparametric Linear Complementarity Problems

Colin Neil Jones

The linear complementarity problem (LCP) is a general problem that unifies linear and quadratic programs and bimatrix games. In this paper, we present an efficient algorithm for the solution to multiparametric linear complementarity problems (pLCPs) that a ...

IEEE2006

Real-time suboptimal model predictive control using a combination of explicit MPC and online optimization

Colin Neil Jones, Melanie Nicole Zeilinger

Limits on the storage space or the computation time restrict the applicability of model predictive controllers (MPC) in many real problems. Currently available methods either compute the optimal controller online or derive an explicit control law. In this ...

IEEE2008

Model Predictive Path-Following Control for Airborne Wind Energy Systems

Colin Neil Jones, Timm Faulwasser, Sanket Sanjay Diwale

2017

On convergence and performance certification of a continuous-time economic model predictive control scheme with time-varying performance index

Colin Neil Jones, Andrea Alessandretti

This paper addresses the design of convergence and performance certified sampled-data model predictive control (MPC) laws with a time-dependent economic performance index. More precisely, using a dissipativity property of the system, we provide a set of su ...

Pergamon-Elsevier Science Ltd2016