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Colin Neil Jones

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Related publications (242)

Page 9 of 13

Violation-aware contextual Bayesian optimization for controller 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 to be effective for improving closed -loop performance by automatically tuning controller gains or re ...

Elsevier Sci Ltd2024

Least-restrictive robust MPC of periodic affine systems with application to building climate control

Colin Neil Jones

Robust state-feedback model predictive control (MPC) of discrete-time periodic affine systems is considered. States and inputs are subject to periodically time-dependent, hard, convex, polyhedral constraints. Disturbances are additive, bounded and subject ...

IEEE2010

On Gaussian Process Based Koopman Operators

Colin Neil Jones

Enabling analysis of non-linear systems in linear form, the Koopman operator has been shown to be a powerful tool for system identification and controller design. However, current data-driven methods cannot provide quantification of model uncertainty given ...

ELSEVIER2020

Efficient Interior Point Methods for Multistage Problems Arising in Receding Horizon Control

Colin Neil Jones, Melanie Nicole Zeilinger

Receding horizon control requires the solution of an optimization problem at every sampling instant. We present efficient interior point methods tailored to convex multistage problems, a problem class which most relevant MPC problems with linear dynamics c ...

2012

Stochastic Model Predictive Control: Controlling the Average Number of Constraint Violations

Colin Neil Jones, Milan Korda

This paper considers linear discrete-time systems with additive bounded disturbances subject to hard control input bounds and constraints on the expected number of state-constraint violations averaged over time, or, equivalently, constraints on the probabi ...

2012

A Model Predictive Control Scheme with Additional Performance Index for Transient Behavior

Colin Neil Jones, Andrea Alessandretti

This paper presents a Model Predictive Control (MPC) scheme for nonlinear continuous time systems where an extra performance index, which is not a measure of the distance to the set point, is introduced to influence the transient behavior of the controlled ...

2013

Trajectory-tracking and Path-following Controllers for Constrained Underactuated Vehicles using Model Predictive Control

Colin Neil Jones, Andrea Alessandretti

This paper addresses the design of Model Predictive Control (MPC) laws to solve the trajectory-tracking problem and the path-following problem for constrained underactuated vehicles. By allowing an arbitrarily small asymptotic tracking error, we derive MPC ...

2013

Distributed Multi-Building Coordination for Demand Response

Colin Neil Jones, Altug Bitlislioglu

This paper presents a distributed optimization algorithm tailored for solving optimal control problems arising in multi-building coordination. The buildings coordinated by a grid operator, join a demand response program to balance the voltage surge by usin ...

ELSEVIER2020

Real-time input-constrained MPC using fast gradient methods

Colin Neil Jones

Linear quadratic model predictive control (MPC) with input constraints leads to an optimization problem that has to be solved at every instant in time. Although there exists computational complexity analysis for current online optimization methods dedicate ...

IEEE2009

Stochastic MPC for Controlling the Average Constraint Violation for Periodic Linear System with Additive Disturbance

Colin Neil Jones, Luca Fabietti

This paper deals with stochastic model predictive control of constrained discrete-time periodic linear systems. Control inputs are subject to periodically time-varying polytopic constraints with possibly time-dependent state and input dimensions. A stochas ...

IEEE2016

On turnpike and dissipativity properties of continuous-time optimal control problems

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

This paper investigates the relations between three different properties, which are of importance in optimal control problems: dissipativity of the underlying dynamics with respect to a specific supply rate, optimal operation at steady state, and the turnp ...

Pergamon-Elsevier Science Ltd2017

A Model Predictive Control scheme with Ultimate Bound for Economic Optimization

Colin Neil Jones, Andrea Alessandretti

This paper presents a Model Predictive Control (MPC) scheme for nonlinear continuous-time systems where an economic stage cost, which is not a measure of the distance to a desired set point, is combined with a classic stabilizing stage cost. The associated ...

2015

Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints

Colin Neil Jones, Yuning Jiang, Wenjie Xu

This paper studies the problem of online performance optimization of constrained closed-loop control systems, where both the objective and the constraints are unknown black-box functions affected by exogenous time-varying contextual disturbances. A primal- ...

IEEE2023

Certification Aspects of the Fast Gradient Method for Solving the Dual of Parametric Convex Programs

Colin Neil Jones

This paper examines the computational complexity certification of the fast gradient method for the solution of the dual of a parametric con- vex program. To this end, a lower iteration bound is derived such that for all parameters from a compact set a solu ...

Springer Heidelberg2013

Enumeration-based approach to solving parametric linear complementarity problems

Colin Neil Jones

This paper presents a solution method for parametric linear complementarity problems (PLCP) that relies on an enumeration technique to discover all feasible bases. The enumeration procedure is based on evaluating all possible combinations of active constra ...

Elsevier2015

Distributed Synthesis and Control of Constrained Linear Systems

Colin Neil Jones, Melanie Nicole Zeilinger

This work presents an approach for both dis- tributed synthesis and control for a network of discrete-time constrained linear systems without central coordinator. Every system in the network is dynamically coupled to a number of neighboring systems and it ...

2012

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

Colin Neil Jones, Milan Korda

We characterize the maximum controlled invariant (MCI) set for discrete- as well as continuous-time nonlinear dynamical systems as the solution of an infinite-dimensional linear programming problem. For systems with polynomial dynamics and compact semialge ...

Society for Industrial and Applied Mathematics2014

Real-Time Distributed Algorithms for Nonconvex Optimal Power Flow

Colin Neil Jones, Georgios Stathopoulos, Yuejiang Liu, Jean-Hubert Hours

The optimal power flow (OPF) problem, a fundamental problem in power systems, is generally nonconvex and computationally challenging for networks with an increasing number of smart devices and real-time control requirements. In this paper, we first investi ...

2017

Model Predictive Control for Market-Based Demand Response Participation

Colin Neil Jones, Tomasz Tadeusz Gorecki, Faran Ahmed Qureshi

In this study, we investigate the maximum possible profit for a commercial office building participating in New York’s Day-Ahead Demand Response (DADR) program. We formulate an optimal control problem, assuming perfect knowledge of future weather, occupanc ...

2014

On real-time robust model predictive control

Colin Neil Jones, Melanie Nicole Zeilinger

High-speed applications impose a hard real-time constraint on the solution of a model predictive control (MPC) problem, which generally prevents the computation of the optimal control input. As a result, in most MPC implementations guarantees on feasibilit ...

Elsevier2014