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M Maarten Steinbuch

Researcher at Eindhoven University of Technology

Publications -  631
Citations -  13231

M Maarten Steinbuch is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Control theory & Robust control. The author has an hindex of 51, co-authored 630 publications receiving 11892 citations. Previous affiliations of M Maarten Steinbuch include Nanyang Technological University & Delft University of Technology.

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Proceedings ArticleDOI

Multivariable control of a compact disc player using DSPs

TL;DR: The design problem is to achieve good track-following and focusing performance in the presence of disturbances and norm-bounded structured plant uncertainty and the robust performance problem has been solved in the /spl mu/-framework using the D-K-iteration scheme.
Journal ArticleDOI

Optimal Control of a Mechanical Hybrid Powertrain With Cold-Start Conditions

TL;DR: The results show that the cold-start conditions have a significant impact on the fuel-saving potential, yet a negligible impact onThe optimal energy controller, and implies that the temperature state can be eliminated from the state space of the energy controller.
Journal ArticleDOI

Disturbance feedforward control for active vibration isolation systems with internal isolator dynamics

TL;DR: The structure of the feedforward controller follows from modeling, but to achieve robust performance the tuning of the controller parameters will be based on measurement data, and the controller poles and zeros are obtained from online self-tuning using measured sampled-data systems.
Proceedings ArticleDOI

Optimization aided loop shaping for motion systems

TL;DR: An approach is proposed which improves the quality and speed of manual loop shaping by adding a global optimization method, i.e. a genetic algorithm, where the objective function resembles as good as possible what the control engineer wants.
Proceedings ArticleDOI

Nonlinearities in Industrial motion stages - detection and classification

TL;DR: In this paper, a broadband signal is used to measure a linear approximation of the system dynamics and the influence of nonlinearities, which yields a quantitative measure of the power generated by nonlinearity at harmonics of the input frequency as a function of this frequency and signal amplitude.