Pathways for optimization-based drug delivery

Leonidas G. Bleris, Panagiotis D. Vouzis, Jesus G. Garcia, Mark G. Arnold, Mayuresh V. Kothare

Research output: Contribution to journalArticlepeer-review

Abstract

An overview of our research results on the implementation of model predictive control (MPC) on-chip is presented, with central focus the development of small-size, energy efficient controllers suitable for drug delivery systems and devices. Profiling simulations coupled with codesign techniques are used in order to reveal algorithmic bottlenecks and to effectively customize implementation designs. Hardware in-the-loop simulations using a general purpose processor and a field programmable gate array, and emulations of an application specific processor are provided. The performance measurements and estimates illustrate that MPC is suitable for on-chip real-time optimal control of complex systems with fast dynamics.

Original languageEnglish (US)
Pages (from-to)1280-1291
Number of pages12
JournalControl Engineering Practice
Volume15
Issue number10 SPEC. ISS.
DOIs
StatePublished - Oct 2007
Externally publishedYes

Keywords

  • Drug delivery
  • Embedded systems
  • Hardware-in-the-loop
  • Model predictive control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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