Optimal control of cellular uptake in tissue engineering

Masako Kishida, Ashlee N. Ford, Daniel W. Pack, Richard D. Braatz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations


The optimal control of a distributed parameter system with reaction, diffusion, and convection is investigated. The problem is motivated by tissue engineering where the control of the uptake of growth factors (signaling molecules) is required to spatially and temporally regulate cellular processes for the growth or regeneration of a tissue. Four approaches for solving the optimal control problem are compared: (i) basis function expansion, (ii) method of moments, (iii) internal model control, and (iv) model predictive control. This comparison suggests that these approaches should be combined to solve the optimal control problem for multiple spatial dimensions.

Original languageEnglish
Title of host publication2008 American Control Conference, ACC
Number of pages6
StatePublished - 2008
Event2008 American Control Conference, ACC - Seattle, WA, United States
Duration: Jun 11 2008Jun 13 2008

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Conference2008 American Control Conference, ACC
Country/TerritoryUnited States
CitySeattle, WA

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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