Control of Self-Assembly with Dynamic Programming⁎. Issue 1 (2019)

• Record Type: Journal Article
• Authors: Grover, Martha A.; Griffin, Daniel J.; Tang, Xun
• Is Part Of: IFAC-PapersOnLine. Volume 52:Issue 1(2019)
• Page Start: 1
• Page End: 9
• Publication Date: 2019
• Subjects: Dynamic programming -- material systems -- Markov decision processes -- closed-loop control -- reduced-order models -- learning; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2019.06.029
• Languages: English
• ISSNs: 2405-8963

Abstract

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 assembly (to produce perfect colloidal crystals) and control of crystallization from solution (to produce crystals of desired average size).