Home

Person

Colin Neil Jones

This person has left EPFL

About
Privacy
Disclaimer

Graph Chatbot

Related publications (242)

Page 6 of 13

Least-restrictive robust periodic model predictive control applied to room temperature regulation

Colin Neil Jones

State-feedback model predictive control (MPC) of constrained discrete-time periodic affine systems is considered. The periodic systems’ states and inputs are subject to periodically time-dependent, hard, polyhedral constraints. Disturbances are additive, b ...

Elsevier2013

Adaptive data-driven prediction in a building control hierarchy: A case study of demand response in Switzerland

Colin Neil Jones, Christophe Salzmann, Yingzhao Lian, Jicheng Shi

By providing various services, such as Incentive-based Demand Response (IBDR), buildings can play a crucial role in the energy market due to their significant energy consumption. However, effectively commissioning buildings for such desired functionalities ...

2025

Manifold Learning and Optimal Control for Obstacle Avoidance in Autonomous Driving

Colin Neil Jones, Sanket Sanjay Diwale

A novel manifold learning approach is presented to incorporate computationally efficient obstacle avoidance constraints in optimal control algorithms. The method presented provides a significant computational benefit by reducing the number of constraints r ...

2019

Stochastic Model Predictive Control for Building Climate Control

Colin Neil Jones

In this brief paper, a Stochastic Model Predictive Control formulation tractable for large-scale systems is developed. The proposed formulation combines the use of Affine Disturbance Feedback, a formulation successfully applied in robust control, with a de ...

Institute of Electrical and Electronics Engineers2014

SIMBa: System Identification Methods Leveraging Backpropagation

Colin Neil Jones, Giancarlo Ferrari Trecate, Muhammad Zakwan, Loris Di Natale

This manuscript details and extends the system identification methods leveraging the backpropagation (SIMBa) toolbox presented in previous work, which uses well-established machine learning tools for discrete-time linear multistep-ahead state-space system ...

2024

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

Guaranteeing Input Tracking For Constrained Systems: Theory and Application to Demand Response

Colin Neil Jones, Georgios Stathopoulos, Tomasz Tadeusz Gorecki, Altug Bitlislioglu

A method for certifying exact input trackability for constrained discrete time linear systems is introduced in this paper. A signal is assumed to be drawn from a reference set and the system must track this signal with a linear combination of its inputs. U ...

2015

Computational Complexity Certification for Real-Time MPC With Input Constraints Based on the Fast Gradient Method

Colin Neil Jones

This paper proposes to use Nesterov's fast gradient method for the solution of linear quadratic model predictive control (MPC) problems with input constraints. The main focus is on the method's a priori computational complexity certification which consists ...

Institute of Electrical and Electronics Engineers2012

Energy Efficient Building Climate Control using Stochastic Model Predictive Control and Weather Predictions

Colin Neil Jones

One of the most critical challenges facing society today is climate change and thus the need to realize massive energy savings. Since buildings account for about 40% of global final energy use, energy efficient building climate control can have an importan ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

MPC for tracking periodic reference signals

Colin Neil Jones, Melanie Nicole Zeilinger

This paper is devoted to the design of a predictive controller for constrained linear systems to track periodic references. The only assumption on the dynamics of the reference is that it is periodic and its period is known. It is also assumed that the ref ...

2012

Robust Distributed Model Predictive Control of Linear Systems

Colin Neil Jones, Melanie Nicole Zeilinger

In this work, synthesis and closed-loop operation of robust distributed model predictive control (MPC) for linear systems using distributed optimization is discussed. Previous work has shown that a nominal MPC controller for this setup can be synthesized a ...

2013

Convex computation of the maximum controlled invariant set for discrete-time polynomial control systems

Colin Neil Jones, Milan Korda

We characterize the maximum controlled invariant (MCI) set for discrete-time systems as the solution of an infinite-dimensional linear programming problem. In the case of systems with polynomial dynamics and semialgebraic state and control constraints, we ...

2013

A Nonlinear Adaptive Controller for Airborne Wind Energy Systems

Colin Neil Jones, Ioannis Lymperopoulos, Andrea Alessandretti, Sanket Sanjay Diwale

A nonlinear adaptive path following controller for a kite based airborne wind energy system is presented. For a given desired geometric path, we provide necessary conditions for closed-loop convergence of the kite to a tube centered around the desired path ...

2016

Optimization Based Control for Target Estimation and Tracking via Highly Observable Trajectories An Application to Motion Control of Autonomous Robotic Vehicles

Colin Neil Jones, Andrea Alessandretti

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

Springer-Verlag Berlin2015

Improved path following for kites with input delay compensation

Colin Neil Jones, Ioannis Lymperopoulos, Sean Costello

In kite power systems, substantial input delay between the actuator and the tethered kite can severely hinder the performance of the control algorithm, limiting the capability of the system to track power-optimal loops. We propose a method that deals with ...

IEEE2015

Parametric Polytope Reconstruction, an Application to Crystal Shape Estimation

Colin Neil Jones, Jean-Hubert Hours

In situ imaging techniques are a promising direction for monitoring the distribution of crystal sizes and shapes during a crystallization process. Nevertheless, no tractable method yet exists for estimating complex crystal shapes. In this paper, an in situ ...

Institute of Electrical and Electronics Engineers2014

PIQP: A Proximal Interior-Point Quadratic Programming Solver

Colin Neil Jones, Daniel Kuhn, Yuning Jiang, Roland Schwan

This paper presents PIQP, a high-performance toolkit for solving generic sparse quadratic programs (QP). Combining an infeasible Interior Point Method (IPM) with the Proximal Method of Multipliers (PMM), the algorithm can handle ill-conditioned convex QP p ...

IEEE2023

Sensor Fault Tolerance in Output Feedback Nonlinear Model Predictive Control

Colin Neil Jones, Andrea Alessandretti

This paper presents an active output feedback fault-tolerant model predictive control (MPC) scheme for systems with sensor faults. The proposed control scheme actively steers the system in order to prevent loss of observability caused by a sensor fault. To ...

Ieee2016

Data-driven Demand Response Modeling and Control of Buildings with Gaussian Processes

Colin Neil Jones, Xuan Truong Nghiem

This paper presents an approach to provide demand response services with buildings. Each building receives a normalized signal that tells it to increase or decrease its power demand, and the building is free to implement any suitable strategy to follow the ...

2017

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

Colin Neil Jones, Yuning Jiang

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