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Melanie Nicole Zeilinger

Cette personne a quitté l’EPFL

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Publications associées (27)

Page 1 sur 2

Model Predictive Control for Multi-Agent Systems under Limited Communication and Time-Varying Network Topology

Melanie Nicole Zeilinger, Danilo Saccani

In control system networks, reconfiguration of the controller when agents are leaving or joining the network is still an open challenge, in particular when operation constraints that depend on each agent's behavior must be met. Drawing our motivation from ...

IEEE2023

Quantization Design for Unconstrained Distributed Optimization

Colin Neil Jones, Ye Pu, Melanie Nicole Zeilinger

We consider an unconstrained distributed optimization problem and assume that the bit rate of the communication in the network is limited. We propose a distributed optimization algorithm with an iteratively refining quantization design, which bounds the qu ...

2015

Input-to-state stabilization of feasible model predictive controllers for linear systems

Colin Neil Jones, Melanie Nicole Zeilinger

Research on sub-optimal Model Predictive Control (MPC) has led to a variety of optimization methods based on explicit or online approaches, or combinations thereof. Its foremost aim is to guarantee essential controller properties, i.e. recursive feasibilit ...

2011

Real-time MPC - Stability through robust MPC design

Colin Neil Jones, Melanie Nicole Zeilinger

Recent results have suggested that online Model Predictive Control (MPC) can be computed quickly enough to control fast sampled systems. High-speed applications impose a hard real-time constraint on the solution of the MPC problem, which generally prevents ...

IEEE2009

Quantization Design for Distributed Optimization

Colin Neil Jones, Melanie Nicole Zeilinger, Ye Pu

We consider the problem of solving a distributed optimization problem using a distributed computing platform, where the communication in the network is limited: each node can only communicate with its neighbors and the channel has a limited data-rate. A co ...

2017

Controller complexity reduction for piecewise affine systems through safe region elimination

Colin Neil Jones, Melanie Nicole Zeilinger

We consider the class of piecewise affine optimal state feedback control laws applied to discrete-time piecewise affine systems, motivated by recent work on the computation of closed-form MPC controllers. The storage demand and complexity of these optimal ...

IEEE2007

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

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems

Colin Neil Jones, Melanie Nicole Zeilinger, Roland Schwan, Xuan Truong Nghiem

Physics-informed machine learning (PIML) is a set of methods and tools that systematically integrate machine learning (ML) algorithms with physical constraints and abstract mathematical models developed in scientific and engineering domains. As opposed to ...

IEEE2023

Spectrogram MPC: Enforcing hard constraints on system's output spectra

Colin Neil Jones, Melanie Nicole Zeilinger, Jean-Hubert Hours

A novel model predictive control (MPC) scheme that allows one to enforce hard constraints on the spectrum of a constrained system’s output signal is presented. The approach is based on a time-local analysis of the spectrum of output signals by means of the ...

Ieee Computer Soc2012

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

Soft Constrained Model Predictive Control With Robust Stability Guarantees

Colin Neil Jones, Melanie Nicole Zeilinger

Soft constrained model predictive control (MPC) is frequently applied in practice in order to ensure feasibility of the optimization during online operation. Standard techniques offer global feasibility by relaxing state or output constraints, but cannot e ...

Institute of Electrical and Electronics Engineers2014

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

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

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

Homothetic Tube Model Predictive Control With Multi-Step Predictors

Giancarlo Ferrari Trecate, Melanie Nicole Zeilinger, Danilo Saccani

We present a robust model predictive control (MPC) framework for linear systems facing bounded parametric uncertainty and bounded disturbances. Our approach deviates from standard MPC formulations by integrating multi-step predictors, which provide reduced ...

Ieee-Inst Electrical Electronics Engineers Inc2023

Sans titre

Colin Neil Jones, Melanie Nicole Zeilinger

IEEE2010

MPC for Tracking Periodic References

Colin Neil Jones, Melanie Nicole Zeilinger

In this technical note, a new model predictive controller for tracking arbitrary periodic references is presented. The proposed controller is based on a single layer that unites dynamic trajectory planning and control. A design procedure to guarantee that ...

Institute of Electrical and Electronics Engineers2016

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

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

Colin Neil Jones, Melanie Nicole Zeilinger

2012