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20082023
most citedCommunication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning

60 citations · 193 across the 43 of their papers we have counts for

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24 papers · 1 filter

math.OC2021

Distributed Model Predictive Control of Buildings and Energy Hubs

Nicolas Lefebure, Mohammad Khosravi, Mathias Hudoba de Badyn +4

Model predictive control (MPC) strategies can be applied to the coordination of energy hubs to reduce their energy consumption. Despite the effectiveness of these techniques, their…

math.OC2021

Distributed Multi-Building Coordination for Demand Response

Junyan Su, Yuning Jiang, Altug Bitlislioglu +2

This paper presents a distributed optimization algorithm tailored for solving optimal control problems arising in multi-building coordination. The buildings coordinated by a grid o…

math.OC2021★ 8 cited

Nonlinear Data-Enabled Prediction and Control

Yingzhao Lian, Colin N. Jones

The Willems' fundamental lemma, which characterizes linear dynamics with measured trajectories, has found successful applications in controller design and signal processing, which…

math.OC2020

On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller

Ugo Rosolia, Yingzhao Lian, Emilio T. Maddalena +2

In this technical note we analyse the performance improvement and optimality properties of the Learning Model Predictive Control (LMPC) strategy for linear deterministic systems. T…

math.OC2020

Reference tracking stochastic model predictive control over unreliable channels and bounded control actions

Prabhat K. Mishra, Sanket S. Diwale, Colin N. Jones +1

A stochastic model predictive control framework over unreliable Bernoulli communication channels, in the presence of unbounded process noise and under bounded control inputs, is pr…

math.OC2020

Towards Global Optimal Control via Koopman Lifts

Mario E. Villanueva, Colin Jones, Boris Houska

This paper introduces a framework for solving time-autonomous nonlinear infinite horizon optimal control problems, under the assumption that all minimizers satisfy Pontryagin's nec…

math.OC2018★ 11 cited

Communication reduction in distributed optimization via estimation of the proximal operator

Giorgos Stathopoulos, Colin N. Jones

We introduce a reduced-communication distributed optimization scheme based on estimating the solution to a proximal minimization problem. Our proposed setup involves a group of age…

math.OC2017★ 1 cited

An Inertial Parallel and Asynchronous Fixed-Point Iteration for Convex Optimization

Giorgos Stathopoulos, Colin N. Jones

Two characteristics that make convex decomposition algorithms attractive are simplicity of operations and generation of parallelizable structures. In principle, these schemes requi…

math.OC2016

Asynchronous Splitting Design for Model Predictive Control

Laura Ferranti, Ye Pu, Colin N. Jones +1

This paper focuses on the design of an asynchronous dual solver suitable for embedded model predictive control (MPC) applications. The proposed solver relies on a state-of-the-art…

math.OC2016

Constrained LQR Using Online Decomposition Techniques

L. Ferranti, G. Stathopoulos, C. N. Jones +1

This paper presents an algorithm to solve the infinite horizon constrained linear quadratic regulator (CLQR) problem using operator splitting methods. First, the CLQR problem is re…

math.OC2016

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

Milan Korda, Didier Henrion, Colin N. Jones

We study the convergence rate of moment-sum-of-squares hierarchies of semidefinite programs for optimal control problems with polynomial data. It is known that these hierarchies ge…

math.OC2016★ 2 cited

Inexact Alternating Minimization Algorithm for Distributed Optimization with an Application to Distributed MPC

Ye Pu, Colin N. Jones, Melanie N. Zeilinger

In this paper, we propose the inexact alternating minimization algorithm (inexact AMA), which allows inexact iterations in the algorithm, and its accelerated variant, called the in…

math.OC2015

Controller design and value function approximation for nonlinear dynamical systems

Milan Korda, Didier Henrion, Colin N. Jones

This work considers the infinite-time discounted optimal control problem for continuous time input-affine polynomial dynamical systems subject to polynomial state and box input con…

math.OC2015★ 3 cited

An Alternating Trust Region Algorithm for Distributed Linearly Constrained Nonlinear Programs, Application to the AC Optimal Power Flow

Jean-Hubert Hours, Colin N. Jones

A novel trust region method for solving linearly constrained nonlinear programs is presented. The proposed technique is amenable to a distributed implementation, as its salient ing…

math.OC2015

Solving the Infinite-horizon Constrained LQR Problem using Accelerated Dual Proximal Methods

Giorgos Stathopoulos, Milan Korda, Colin N. Jones

This work presents an algorithmic scheme for solving the infinite-time constrained linear quadratic regulation problem. We employ an accelerated version of a popular proximal gradi…

math.OC2015

Stability and Performance Verification of Optimization-based Controllers

Milan Korda, Colin N. Jones

This paper presents a method to verify closed-loop properties of optimization-based controllers for deterministic and stochastic constrained polynomial discrete-time dynamical syst…

math.OC2014

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

Tomasz T. Gorecki, Altuğ Bitlislioğlu, Giorgos Stathopoulos +1

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…

math.OC2014★ 3 cited

A Parametric Non-Convex Decomposition Algorithm for Real-Time and Distributed NMPC

Jean-Hubert Hours, Colin N. Jones

A novel decomposition scheme to solve parametric non-convex programs as they arise in Nonlinear Model Predictive Control (NMPC) is presented. It consists of a fixed number of alter…

math.OC2014

A Parametric Multi-Convex Splitting Technique with Application to Real-Time NMPC

Jean-Hubert Hours, Colin N. Jones

A novel splitting scheme to solve parametric multiconvex programs is presented. It consists of a fixed number of proximal alternating minimisations and a dual update per time step,…

math.OC2014★ 1 cited

An Augmented Lagrangian Coordination-Decomposition Algorithm for Solving Distributed Non-Convex Programs

Jean-Hubert Hours, Colin N. Jones

A novel augmented Lagrangian method for solving non-convex programs with nonlinear cost and constraint couplings in a distributed framework is presented. The proposed decomposition…

math.OC2013

Controller design and region of attraction estimation for nonlinear dynamical systems

Milan Korda, Didier Henrion, Colin N. Jones

This work presents a method to obtain inner and outer approximations of the region of attraction of a given target set as well as an admissible controller generating the inner appr…

math.OC2013★ 5 cited

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

Milan Korda, Didier Henrion, Colin N. Jones

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 pr…

math.OC2012

Inner approximations of the region of attraction for polynomial dynamical systems

Milan Korda, Didier Henrion, Colin N. Jones

In a previous work we developed a convex infinite dimensional linear programming (LP) approach to approximating the region of attraction (ROA) of polynomial dynamical systems subje…

math.OC2008

An output-sensitive algorithm for multi-parametric LCPs with sufficient matrices

Sebastiano Columbano, Komei Fukuda, Colin Jones

This paper considers the multi-parametric linear complementarity problem (pLCP) with sufficient matrices. The main result is an algorithm to find a polyhedral decomposition of the…