• Groene Loper 19, Flux

    5612 AP Eindhoven

    Netherlands

  • P.O. Box 513, Department of Electrical Engineering

    5600 MB Eindhoven

    Netherlands

Organization profile

Introduction / mission

The Autonomous Motion Control (AMC) Lab is a testbed for new solutions of autonomous motion problems. 

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Organisational profile

The AMC lab contains the infrastructure for verifying and demonstrating applied research and/or fundamental research for real-world problems. Research topics are, amongst others, vehicle control, model predictive control, distributed optimization, formal testing of algorithms, formal methods for stochastic and/or uncertain dynamic environments, (nonlinear) identification and machine learning. 

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Stochastic models Engineering & Materials Science
Statistical Models Engineering & Materials Science
Identification (control systems) Engineering & Materials Science
Polynomials Engineering & Materials Science

Research Output 2018 2019

  • 3 Conference contribution

A shrinking horizon approach to eco-driving for electric city buses: implementation and experimental results

Flores Paredes, J. C., Padilla Cazar, G. P. & Donkers, M. C. F., 2019, (Accepted/In press) IFAC International Symposium on Advances on Automotive Control.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Range maximisation of electric vehicles through active cell balancing using reachability analysis

Hoekstra, F. S. J., Bergveld, H. J. & Donkers, M. C. F., 2019, (Accepted/In press) Proc American Control Conference.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

On the simulation of polynomial NARMAX models

Khandelwal, D., Schoukens, M. & Toth, R., 2018, 2018 IEEE Conference on Decision and Control (CDC) . PIscataway: Institute of Electrical and Electronics Engineers (IEEE), p. 1445-1450 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Stochastic models
Statistical Models
Identification (control systems)
Polynomials