Pathways for optimization-based drug delivery

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...

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Bibliographic Details
Published in:Control engineering practice 2007-10, Vol.15 (10), p.1280-1291
Main Authors: Bleris, Leonidas G., Vouzis, Panagiotis D., Garcia, Jesus G., Arnold, Mark G., Kothare, Mayuresh V.
Format: Article
Language:English
Subjects:
Applied sciences
Chemical engineering
Computer science
control theory
systems
Control theory. Systems
Drug delivery
Embedded systems
Exact sciences and technology
Hardware-in-the-loop
Metrology, automation
Model predictive control
Optimal control
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Summary: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.
ISSN:0967-0661
1873-6939
DOI:10.1016/j.conengprac.2006.11.007