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Colin Neil Jones

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Related publications (242)

Page 4 of 13

Optimization based control for target estimation and tracking via highly observable trajectories

Colin Neil Jones, Andrea Alessandretti

This paper presents a Model Predictive Control (MPC) scheme to solve the target estimation and tracking problem. The objective is to derive a feedback law that drives a follower vehicle to a target vehicle using on-line estimation of the target position an ...

2014

Stochastic MPC framework for controlling the average constraint violation

Colin Neil Jones, Milan Korda

This paper considers linear discrete-time systems with additive, bounded, disturbances subject to hard control input bounds and a stochastic constraint on the amount of state-constraint violation averaged over time. The amount of violations is quantified b ...

Institute of Electrical and Electronics Engineers2014

A logarithmic-time solution to the point location problem for closed-form linear MPC

Colin Neil Jones

Closed-form Model Predictive Control (MPC) results in a polytopic subdivision of the set of feasible states, where each region is associated with an affine control law. Solving the MPC problem on-line then requires determining which region contains the cur ...

2005

An ADMM-Based Coordination and Control Strategy for PV and Storage to Dispatch Stochastic Prosumers: Theory and Experimental Validation

Mario Paolone, Colin Neil Jones, Fabrizio Sossan, Rahul Kumar Gupta, Emil Namor, Enrica Scolari, Luca Fabietti

This paper describes a two-layer control and coordination framework for distributed energy resources. The lower layer is a real-time model predictive control (MPC) executed at 10 s resolution to achieve fine tuning of a given energy setpoint. The upper lay ...

Power Systems Computation Conference2018

Recurrent Neural Network based MPC for Process Industries

Colin Neil Jones

Autonomous operation of industrial plants requires a cheap and efficient way of creating dynamic process models, which can then be used to either be part of the autonomous systems or to serve as simulators for reinforcement learning. The trends of digitali ...

IEEE2019

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

Computational Aspects of Distributed Optimization in Model Predictive Control

Colin Neil Jones, Melanie Nicole Zeilinger, Tyler Summers

This paper presents a systematic computational study on the performance of distributed optimization in model predictive control (MPC). We consider networks of dynamically coupled systems, which are subject to input and state con- straints. The resulting MP ...

2012

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

Efficient evaluation of piecewise control laws defined over a large number of polyhedra

Colin Neil Jones

We consider the class of piecewise state feedback control laws applied to discrete-time systems, motivated by recent work on the computation of closed-form MPC controllers. The on-line evaluation of such a control law requires the determination of the stat ...

2007

Distributed synthesis and stability of cooperative distributed model predictive control for linear systems

Colin Neil Jones, Melanie Nicole Zeilinger

This paper presents a new formulation and synthesis approach for stabilizing cooperative distributed model predictive control (MPC) for networks of linear systems, which are coupled in their dynamics. The controller is defined by a network-wide constrained ...

Elsevier2016

Fast Explicit Nonlinear Model Predictive Control Via Multiresolution Function Approximation with Guaranteed Stability Nonlinear Control Systems

Colin Neil Jones, John Lygeros

In this paper an algorithm for nonlinear explicit model predictive control is introduced based on multiresolution function approximation that returns a low complexity approximate receding horizon control law built on a hierarchy of second order interpolets ...

2010

Use of model predictive control and weather forecasts for energy efficient building climate control

Colin Neil Jones

This paper presents an investigation of how ModelPredictiveControl (MPC) and weatherpredictions can increase the energy efficiency in Integrated Room Automation (IRA) while respecting occupant comfort. IRA deals with the simultaneous control of heating, ve ...

Elsevier2012

A multi-modal nocturnal radiative cooling and solar-assisted heating system with model predictive control

Colin Neil Jones, Manuel Pascal Koch

Heating and cooling of buildings account for around 15% of all global energy consumption. In light of the ongoing energy transition, we aim to improve the efficiency of both in a European single-family house by using photovoltaic-thermal collectors with a ...

2025

An Economic Model Predictive Control scheme with terminal penalty for continuous-time systems

Colin Neil Jones, Andrea Alessandretti

In this paper, convergence and performance properties of a sample-data continuous time model predictive control (MPC) scheme with economic performance index are developed. In particular, we provide sufficient conditions for convergence of the close loop st ...

2014

Real-Time Optimization of Uncertain Process Systems via Modifier Adaptation and Gaussian Processes

Dominique Bonvin, Colin Neil Jones, Timm Faulwasser, Tafarel de Avila Ferreira, Harsh Ambarishkumar Shukla

In the context of static real-time optimization, the use of measurements allows dealing with uncertainty in the form of plant-model mismatch and disturbances. Modifier adaptation (MA) is a measurement-based scheme that uses first-order corrections to the m ...

IEEE2018

Design of a Distributed Quantized Luenberger Filter for Bounded Noise

Colin Neil Jones, Ye Pu, Andrea Alessandretti, Francisco Fernandes Castro Rego

This paper addresses the problem of distributed state estimation for linear systems with process and measurement noise, in the case of limited communication data rate, where the data exchanged between agents is quantized. We propose a linear distributed Lu ...

Ieee2016

Towards global optimal control via Koopman lifts

Colin Neil Jones

This paper introduces a framework for solving time-autonomous nonlinear infinite horizon optimal control problems, under the assumption that all minimizers satisfy Pontryagin's necessary optimality conditions. In detail, we use methods from the field of sy ...

2021

Stable Linear Subspace Identification: A Machine Learning Approach

Colin Neil Jones, Giancarlo Ferrari Trecate

Machine Learning (ML) and linear System Identification (SI) have been historically developed independently. In this paper, we leverage well-established ML tools - especially the automatic differentiation framework - to introduce SIMBa, a family of discrete ...

Institute of Electrical and Electronics Engineers Inc.2024

Complexity Certification of the Fast Alternating Minimization Algorithm for Linear MPC

Colin Neil Jones, Melanie Nicole Zeilinger, Ye Pu

In this technical note, the fast alternating minimization algorithm (FAMA) is proposed to solve model predictive control (MPC) problems with polytopic and second-order cone constraints. Two splitting strategies with efficient implementations for MPC proble ...

2017