Control of Self-Assembly with Dynamic Programming
Abstract
This conference paper updates a previously-reported methodology for establishing feedback control of self-assembly (Griffin et al. (2016b)). The methodology combines dimension reduction, supervised learning, and dynamic programming to obtain an optimal feedback control policy for reaching a desired assembled state. The strategy is further demonstrated, with both simulation and experimental results, for two applications: control of colloidal...
Paper Details
Title
Control of Self-Assembly with Dynamic Programming
Published Date
Jan 1, 2019
Journal
Volume
52
Issue
1
Pages
1 - 9
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History