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Stochastic Dynamics Modeling and Mot...
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ProQuest Information and Learning Co.
Stochastic Dynamics Modeling and Motion Control of Optically Trapped Microspheres.
Record Type:
Language materials, manuscript : Monograph/item
Title/Author:
Stochastic Dynamics Modeling and Motion Control of Optically Trapped Microspheres./
Author:
Rajasekaran, Keshav.
Description:
1 online resource (45 pages)
Notes:
Source: Masters Abstracts International, Volume: 57-02.
Contained By:
Masters Abstracts International57-02(E).
Subject:
Mechanical engineering. -
Online resource:
click for full text (PQDT)
ISBN:
9780355357301
Stochastic Dynamics Modeling and Motion Control of Optically Trapped Microspheres.
Rajasekaran, Keshav.
Stochastic Dynamics Modeling and Motion Control of Optically Trapped Microspheres.
- 1 online resource (45 pages)
Source: Masters Abstracts International, Volume: 57-02.
Thesis (Master's)
Includes bibliographical references
Automation of an optical tweezers system is critical to fully leverage its immense multiplexing capabilities, which allows for highly precise and reliable manipulation of microscopic dielectric objects. Although there has been substantial work in this context, automation has been limited to only transporting a few objects at a time, particularly while ensuring collision avoidances with other freely diffusing objects in the workspace. In this paper, we provide the first step in addressing this limitation by developing a new algorithm that combines a model predictive controller with a fast grid search-based path planning method. We validate the usefulness of the presented method through experiments with silica beads in water.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355357301Subjects--Topical Terms:
557493
Mechanical engineering.
Index Terms--Genre/Form:
554714
Electronic books.
Stochastic Dynamics Modeling and Motion Control of Optically Trapped Microspheres.
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Automation of an optical tweezers system is critical to fully leverage its immense multiplexing capabilities, which allows for highly precise and reliable manipulation of microscopic dielectric objects. Although there has been substantial work in this context, automation has been limited to only transporting a few objects at a time, particularly while ensuring collision avoidances with other freely diffusing objects in the workspace. In this paper, we provide the first step in addressing this limitation by developing a new algorithm that combines a model predictive controller with a fast grid search-based path planning method. We validate the usefulness of the presented method through experiments with silica beads in water.
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Ann Arbor, Mich. :
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ProQuest,
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2018
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Mode of access: World Wide Web
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Mechanical engineering.
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click for full text (PQDT)
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