Organization profile

Introduction / mission

Our mission is to conduct high-level research in the area of Dynamics and Control, with the emphasis on modeling, analysis and control of mechanical and mechatronic systems.

Highlighted phrase

Combining fundamental research with providing students state-of-the art knowledge

Organisational profile

Nonlinear dynamics and control, acoustics and robotics are among the focal areas of the programme. Fundamental research is combined with numerical tools and supported by dedicated laboratory experiments. Teaching at undergraduate and graduate levels, in the spirit of Humboldt, is a key integral part of the mission of the programme, to provide students with state-of-the-art knowledge of and skills in Dynamics and Control, certainly in the high-tech region that Eindhoven represents. This is a key scientific field which is relevant to many advanced applications, and is fostered by the development of the latest technologies in these application areas. Particularly the constantly increasing requirements for the efficiency, accuracy and reliability of these systems make it necessary to unravel detailed dynamic models for analysis, to develop advanced numerical tools for simulation, to develop automation strategies and to provide validation experiments. Although high-tech systems form a strong motivation of the group, the ultimate objectives are:

to carry out world-class research in this field,
to combine this with excellent teaching and courses at both Bachelor’s and Master’s levels in mechanical engineering, tailored to both the scientific state-of-the-art and the industrial state-of-practice,
and to address societal and valorisation aspects of the research.

It is our vision that fulfilling our objectives makes key contributions to general research challenges, but particularly to the technological and societal challenges that we face from both industry and society.

Fingerprint Dive into the research topics where Dynamics and Control is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Controllers Engineering & Materials Science

Adaptive cruise control Engineering & Materials Science

Synchronization Engineering & Materials Science

Time delay Engineering & Materials Science

Feedback Engineering & Materials Science

Robots Engineering & Materials Science

Networked control systems Engineering & Materials Science

Trajectories Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Profiles

Ivo J.B.F. Adan

i.adan@tue.nl

Department of Industrial Engineering & Innovation Sciences, Operations Planning Accounting & Control - Full Professor
Department of Mechanical Engineering, Dynamics and Control - Full Professor

Person: HGL : Professor

Mohsen Alirezaei

m.alirezaei@tue.nl

Department of Mechanical Engineering, Dynamics and Control - Assistant Professor

Person: UD : Assistant Professor

Anahita Amiri, MSc

a.amiri@tue.nl

Department of Mechanical Engineering, Dynamics and Control - Doctoral Candidate

Person: Prom. : doctoral candidate (PhD)

Research Output 1970 2020

Error estimation in reduced basis method for systems with time-varying and nonlinear boundary conditions

Abbasi, M., Iapichino, L., Besselink, B., Schilders, W. & van de Wouw, N., 1 Mar 2020, In : Computer Methods in Applied Mechanics and Engineering. 360, 27 p., 112688.

Research output: Contribution to journal › Article › Academic › peer-review

Error analysis

Boundary conditions

boundary conditions

estimates

partial differential equations

Heat-transfer enhancement by adaptive reorientation of flow fields

Lensvelt, R., Speetjens, M. & Nijmeijer, H., 2020, (Accepted/In press) Proceedings 5th Thermal and Fluids Engineering Conference (TFEC), April 5–8, 2020, New Orleans, LA, USA.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

flow field

heat transfer

baseflow

heating

fluid

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