Melanie Nicole Zeilinger

According to our database1, Melanie Nicole Zeilinger authored at least 74 papers between 2007 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2021
Inverse Learning for Data-Driven Calibration of Model-Based Statistical Path Planning.
IEEE Trans. Intell. Veh., 2021

Constrained Inverse Optimal Control With Application to a Human Manipulation Task.
IEEE Trans. Control. Syst. Technol., 2021

Scalable Model Predictive Control for Autonomous Mobility-on-Demand Systems.
IEEE Trans. Control. Syst. Technol., 2021

Knee Compliance Reduces Peak Swing Phase Collision Forces in a Lower-Limb Exoskeleton Leg: A Test Bench Evaluation.
IEEE Trans. Biomed. Eng., 2021

Interaction-Aware Motion Prediction for Autonomous Driving: A Multiple Model Kalman Filtering Scheme.
IEEE Robotics Autom. Lett., 2021

Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket.
CoRR, 2021

A System Level Approach to Robust Model Predictive Control.
CoRR, 2021

Data-driven MIMO control of room temperature and bidirectional EV charging using deep reinforcement learning: simulation and experiments.
CoRR, 2021

A predictive safety filter for learning-based racing control.
CoRR, 2021

2020
Using Human Ratings for Feedback Control: A Supervised Learning Approach With Application to Rehabilitation Robotics.
IEEE Trans. Robotics, 2020

Cautious Model Predictive Control Using Gaussian Process Regression.
IEEE Trans. Control. Syst. Technol., 2020

Scenario-Based Probabilistic Reachable Sets for Recursively Feasible Stochastic Model Predictive Control.
IEEE Control. Syst. Lett., 2020

Cautious Bayesian Optimization for Efficient and Scalable Policy Search.
CoRR, 2020

Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation.
CoRR, 2020

Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations.
CoRR, 2020

Distributed Safe Learning using an Invariance-based Safety Framework.
CoRR, 2020

Performance and safety of Bayesian model predictive control: Scalable model-based RL with guarantees.
CoRR, 2020

Maximum Likelihood Methods for Inverse Learning of Optimal Controllers.
CoRR, 2020

Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction.
CoRR, 2020

Recursively feasible stochastic model predictive control using indirect feedback.
Autom., 2020

Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

On Simulation and Trajectory Prediction with Gaussian Process Dynamics.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Performance Analysis of Stochastic Model Predictive Control with Direct and Indirect Feedback.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Plug-and-Play Model Predictive Control for Load Shaping and Voltage Control in Smart Grids.
IEEE Trans. Smart Grid, 2019

A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems.
IEEE Trans. Autom. Control., 2019

Learning-Based Model Predictive Control for Autonomous Racing.
IEEE Robotics Autom. Lett., 2019

Data-Driven Model Predictive Control for Trajectory Tracking With a Robotic Arm.
IEEE Robotics Autom. Lett., 2019

An Approximate Dynamic Programming Approach for Dual Stochastic Model Predictive Control.
CoRR, 2019

Distributed Model Predictive Safety Certification for Learning-based Control.
CoRR, 2019

Probabilistic model predictive safety certification for learning-based control.
CoRR, 2019

Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Inverse Learning for Human-Adaptive Motion Planning.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Predictive Modeling by Infinite-Horizon Constrained Inverse Optimal Control with Application to a Human Manipulation Task.
CoRR, 2018

Safe exploration of nonlinear dynamical systems: A predictive safety filter for reinforcement learning.
CoRR, 2018

Scalable synthesis of safety certificates from data with application to learning-based control.
Proceedings of the 16th European Control Conference, 2018

Convex Formulations and Algebraic Solutions for Linear Quadratic Inverse Optimal Control Problems.
Proceedings of the 16th European Control Conference, 2018

A User Comfort Model and Index Policy for Personalizing Discrete Controller Decisions.
Proceedings of the 16th European Control Conference, 2018

Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars.
Proceedings of the 16th European Control Conference, 2018

On a Correspondence between Probabilistic and Robust Invariant Sets for Linear Systems.
Proceedings of the 16th European Control Conference, 2018

Linear Model Predictive Safety Certification for Learning-Based Control.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Stochastic Model Predictive Control for Linear Systems Using Probabilistic Reachable Sets.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Quantization Design for Distributed Optimization.
IEEE Trans. Autom. Control., 2017

Complexity Certification of the Fast Alternating Minimization Algorithm for Linear MPC.
IEEE Trans. Autom. Control., 2017

Cautious NMPC with Gaussian Process Dynamics for Miniature Race Cars.
CoRR, 2017

Cautious Model Predictive Control using Gaussian Process Regression.
CoRR, 2017

2016
Gaussian Process-Based Predictive Control for Periodic Error Correction.
IEEE Trans. Control. Syst. Technol., 2016

MPC for Tracking Periodic References.
IEEE Trans. Autom. Control., 2016

Distributed synthesis and stability of cooperative distributed model predictive control for linear systems.
Autom., 2016

Approximate dual control maintaining the value of information with an application to building control.
Proceedings of the 15th European Control Conference, 2016

2015
Constrained Spectrum Control.
IEEE Trans. Autom. Control., 2015

Quantization design for distributed optimization with time-varying parameters.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Quantization design for unconstrained distributed optimization.
Proceedings of the American Control Conference, 2015

2014
Soft Constrained Model Predictive Control With Robust Stability Guarantees.
IEEE Trans. Autom. Control., 2014

On real-time robust model predictive control.
Autom., 2014

Utility learning model predictive control for personal electric loads.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Inexact fast alternating minimization algorithm for distributed model predictive control.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Plug-and-play model predictive control for electric vehicle charging and voltage control in smart grids.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Reachability-based safe learning with Gaussian processes.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Robust distributed model predictive control of linear systems.
Proceedings of the 12th European Control Conference, 2013

Plug and play distributed model predictive control based on distributed invariance and optimization.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Cooperative distributed tracking MPC for constrained linear systems: Theory and synthesis.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Nonparametric dynamics estimation for time periodic systems.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Efficient interior point methods for multistage problems arising in receding horizon control.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Computational aspects of distributed optimization in model predictive control.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Spectrogram-MPC: Enforcing hard constraints on systems' output spectra.
Proceedings of the American Control Conference, 2012

Distributed synthesis and control of constrained linear systems.
Proceedings of the American Control Conference, 2012

2011
Real-Time Suboptimal Model Predictive Control Using a Combination of Explicit MPC and Online Optimization.
IEEE Trans. Autom. Control., 2011

Input-to-state stabilization of low-complexity model predictive controllers for linear systems.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Learning a feasible and stabilizing explicit model predictive control law by robust optimization.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Robust stability properties of soft constrained MPC.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Real-time MPC - Stability through robust MPC design.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2007
Controller complexity reduction for piecewise affine systems through safe region elimination.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007


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