M Shahini et al 2009 Smart Mater. Struct. 18 095023 doi:10.1088/0964-1726/18/9/095023
M Shahini1, W W Melek1,3 and J T W Yeow2
Show affiliationsThis paper proposes a novel approach for controlled pushing of a micro-sized object along a desired path. Challenges associated with this control task due to the presence of dominating micro-forces are carefully studied and a solution based on the application of artificial neural networks is introduced. A nonlinear controller is proposed for controlled pushing of micro-objects which guarantees the stability of the closed-loop system in the Lyapunov sense. An experimental setup is designed to validate the performance of the proposed controller. Results suggest that artificial neural networks present a promising tool for design of adaptive controllers to accurately manipulate objects in the microscopic scale.
07.05.Mh Neural networks, fuzzy logic, artificial intelligence
87.18.Sn Neural networks and synaptic communication
07.10.Cm Micromechanical devices and systems
85.85.+j Micro- and nano-electromechanical systems (MEMS/NEMS) and devices
Issue 9 (September 2009)
Received 8 April 2009
Published 17 July 2009
M Shahini et al 2009 Smart Mater. Struct. 18 095023
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