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M Maarten Steinbuch

Bio: M Maarten Steinbuch is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Control theory & Feed forward. 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.


Papers
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01 Jan 2008
TL;DR: The development of this universal non-contact and fast measurement machine with 30 nm uncertainty (2σ) for freeform optics up to AE500 mm is now nearing completion.
Abstract: By applying freeform optics (figure 1) in high-end optical systems such as used in space, science and lithography applications, system performance can be improved while decreasing the system mass, size and number of required components (for instance [1]). The applicability of classical metrology methods is limited for freeform surfaces, which is currently holding back their widespread application. TNO, TU/e and NMi VSL therefore initiated the NANOMEFOS project in 2004 [2]. The development of this universal non-contact and fast measurement machine with 30 nm uncertainty (2σ) for freeform optics up to AE500 mm is now nearing completion.

1 citations

01 Jan 2000
TL;DR: In this paper, the design parameters of the airbag and the belt for a large class of crashes were optimized using the theory of design of experiments in combination with multiple regression, using the full model for the 'experiments', is applied to find the metamodel.
Abstract: Today's Safety Restraint Systems are a compromise in that they are optimised for standard crashes and only take the most important crash characteristics into account when activated. This paper is about how to optimise the design parameters of the airbag and the belt for a large class of crashes. The curently used multibody models are far too complex for optimisation. The key-issue is to find a metamodel, i.e. an easy-to-calculate approximation for the time-consuming full analysis model. This metamodel then can be used in the iterative optimisation process. Here, the theory of design of experiments in combination with multiple regression, using the full model for the 'experiments', is applied to find the metamodel. The results show that the obtained model is accurate enough to be used for the optimisation of the design parameters. However, the metamodel is applicable only for one crash, i.e. all parameters in the full analysis model to characterise the crash and the occupant have to be fixed a priori. Further research enabling the metamodel to cover a large class of crashes is recommended. For the covering abstract see ITRD E109346.

1 citations

01 Jan 2001
TL;DR: The new transmission seamlessly combines two contradictory features: the driveability in terms of the pedal-to-wheel response is greatly improved and a large leap towards optimal fuel economy can be made.
Abstract: Due to rotating inertias within the engine and transmission, the response of a vehicle during large engine speed transients may appear reluctant or even counteracting. Reminiscent of comparable behaviour in aircraft jet-propulsion, this phenomenon is also referred to as jet-start. To overcome this behaviour, a CVT powertrain is augmented with a plenetary gear set and a compact steel flywheel. The new transmission seamlessly combines two contradictory features: the driveability in terms of the pedal-to-wheel response is greatly improved and a large leap towards optimal fuel economy can be made. This is achieved by cruising the vehicle at extremely low engine speeds, using the large ratiocoverage of the CVT. The flywheel acts as a "peak shaver" during speed shifts: it delivers power during engine acceleration and absorbs kinetic energy during engine decelerations. In this paper, system dynamics and control aspects of the new powertrain are discussed.

1 citations

01 Jan 2009
TL;DR: A slave for MIS in the abdominal cavity and the chest is being designed that should obtain force information, and requires a light and stiff design.
Abstract: Minimally Invasive Surgery (MIS) is performed with long and slender instruments through small incisions (1 cm). This provides the surgeon with inconveniences like: an unnatural eye-hand coordination and mirroring and scaling of movements. These can be overcome by using a master-slave system. However, current systems do not provide force feedback, for example required to distinguish between healthy and inflamed tissue. Therefore, a slave for MIS in the abdominal cavity and the chest is being designed that should obtain force information. This requires a light and stiff design:

1 citations

01 Jan 2014
TL;DR: This research investigates the advantage of using preview information for controlling emission aftertreatment systems on a conventional truck, specifically the Diesel Particulate Filter (DPF), and designs a previewing controller, that has the potential to reduce the fuel requirement of the DOC/DPF system by more than 50% per active regeneration, while complying to emission legislation.
Abstract: This research is about investigating the advantage of using preview information for controlling emission aftertreatment systems on a conventional truck, specifically the Diesel Particulate Filter (DPF). This DPF requires an active regeneration from time to time, which removes the particulates from the filter, at the cost of fuel. When route preview information is used from e.g. geographical and telemetric systems, on-road system performance can be optimized over expected duty cycles for a specified time horizon. However, at this moment, state-of-the-art emission control does not use preview information. As a consequence, the performance of the emission aftertreatment control devices, e.g. for Diesel Oxidation Catalyst (DOC) and DPF, must be tuned conservatively to maintain legislative accordance and durability. To show the feasibility of active regeneration scheduling of the DPF using preview information, the relevant drivetrain components are modeled, together with the baseline regeneration control of the DPF. These high-fidelity, parametric models are fitted and validated on test-bench and vehicle measurement data. For a set of representative drive cycles, the maximum potential of preview for DPF regeneration is quantified. Using simplified control models, a previewing controller is designed, that is computationally efficient. The designed controller has the potential to reduce the fuel requirement of the DOC/DPF system by more than 50% per active regeneration, while complying to emission legislation. Due to the large timescale of soot accumulation in the DPF, a large preview window is needed, typically beyond 2 hours of route information. In future work the availability of this information has to be tested for the intended long-haul applications.

1 citations


Cited by
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Book
05 Oct 1997
TL;DR: In this article, the authors introduce linear algebraic Riccati Equations and linear systems with Ha spaces and balance model reduction, and Ha Loop Shaping, and Controller Reduction.
Abstract: 1. Introduction. 2. Linear Algebra. 3. Linear Systems. 4. H2 and Ha Spaces. 5. Internal Stability. 6. Performance Specifications and Limitations. 7. Balanced Model Reduction. 8. Uncertainty and Robustness. 9. Linear Fractional Transformation. 10. m and m- Synthesis. 11. Controller Parameterization. 12. Algebraic Riccati Equations. 13. H2 Optimal Control. 14. Ha Control. 15. Controller Reduction. 16. Ha Loop Shaping. 17. Gap Metric and ...u- Gap Metric. 18. Miscellaneous Topics. Bibliography. Index.

3,471 citations

Journal ArticleDOI
TL;DR: In this paper, a review of electrical energy storage technologies for stationary applications is presented, with particular attention paid to pumped hydroelectric storage, compressed air energy storage, battery, flow battery, fuel cell, solar fuel, superconducting magnetic energy storage and thermal energy storage.
Abstract: Electrical energy storage technologies for stationary applications are reviewed. Particular attention is paid to pumped hydroelectric storage, compressed air energy storage, battery, flow battery, fuel cell, solar fuel, superconducting magnetic energy storage, flywheel, capacitor/supercapacitor, and thermal energy storage. Comparison is made among these technologies in terms of technical characteristics, applications and deployment status.

3,031 citations

Journal ArticleDOI
TL;DR: Though beginning its third decade of active research, the field of ILC shows no sign of slowing down and includes many results and learning algorithms beyond the scope of this survey.
Abstract: This article surveyed the major results in iterative learning control (ILC) analysis and design over the past two decades. Problems in stability, performance, learning transient behavior, and robustness were discussed along with four design techniques that have emerged as among the most popular. The content of this survey was selected to provide the reader with a broad perspective of the important ideas, potential, and limitations of ILC. Indeed, the maturing field of ILC includes many results and learning algorithms beyond the scope of this survey. Though beginning its third decade of active research, the field of ILC shows no sign of slowing down.

2,645 citations

Proceedings ArticleDOI
27 Jun 2016
TL;DR: This work proposes an LSTM model which can learn general human movement and predict their future trajectories and outperforms state-of-the-art methods on some of these datasets.
Abstract: Pedestrians follow different trajectories to avoid obstacles and accommodate fellow pedestrians. Any autonomous vehicle navigating such a scene should be able to foresee the future positions of pedestrians and accordingly adjust its path to avoid collisions. This problem of trajectory prediction can be viewed as a sequence generation task, where we are interested in predicting the future trajectory of people based on their past positions. Following the recent success of Recurrent Neural Network (RNN) models for sequence prediction tasks, we propose an LSTM model which can learn general human movement and predict their future trajectories. This is in contrast to traditional approaches which use hand-crafted functions such as Social forces. We demonstrate the performance of our method on several public datasets. Our model outperforms state-of-the-art methods on some of these datasets. We also analyze the trajectories predicted by our model to demonstrate the motion behaviour learned by our model.

2,587 citations

Journal ArticleDOI
TL;DR: This article attempts to strengthen the links between the two research communities by providing a survey of work in reinforcement learning for behavior generation in robots by highlighting both key challenges in robot reinforcement learning as well as notable successes.
Abstract: Reinforcement learning offers to robotics a framework and set of tools for the design of sophisticated and hard-to-engineer behaviors. Conversely, the challenges of robotic problems provide both inspiration, impact, and validation for developments in reinforcement learning. The relationship between disciplines has sufficient promise to be likened to that between physics and mathematics. In this article, we attempt to strengthen the links between the two research communities by providing a survey of work in reinforcement learning for behavior generation in robots. We highlight both key challenges in robot reinforcement learning as well as notable successes. We discuss how contributions tamed the complexity of the domain and study the role of algorithms, representations, and prior knowledge in achieving these successes. As a result, a particular focus of our paper lies on the choice between model-based and model-free as well as between value-function-based and policy-search methods. By analyzing a simple problem in some detail we demonstrate how reinforcement learning approaches may be profitably applied, and we note throughout open questions and the tremendous potential for future research.

2,391 citations