DocumentCode :
3169742
Title :
Controlling biological systems: the lactose regulation system of Escherichia coli
Author :
Julius, A. Agung ; Halasz, Adam ; Kumar, Vijay ; Pappas, George J.
Author_Institution :
Univ. of Pennsylvania, Philadelphia
fYear :
2007
fDate :
9-13 July 2007
Firstpage :
1305
Lastpage :
1310
Abstract :
In this paper we present a comprehensive framework for abstraction and controller design for a biological system. The first half of the paper concerns modeling and model abstraction of the system. Most models in systems biology are deterministic models with ordinary differential equations in the concentration variables. We present a stochastic hybrid model of the lactose regulation system of E. coli bacteria that capture important phenomena which cannot be described by continuous deterministic models. We then show that the resulting stochastic hybrid model can be abstracted into a much simpler model, a two-state continuous time Markov chain. The second half of the paper discusses controller design for a specific architecture. The architecture consists of measurement of a global quantity in a colony of bacteria as an output feedback, and manipulation of global environmental variables as control actuation. We show that controller design can be performed on the abstracted (Markov chain) model and implementation on the real model yields the desired result.
Keywords :
Markov processes; biocontrol; control system synthesis; differential equations; feedback; Escherichia coli; biological systems control; continuous deterministic models; controller design; lactose regulation system; ordinary differential equations; output feedback; two-state continuous time Markov chain; Biological control systems; Biological system modeling; Biological systems; Control systems; Differential equations; Microorganisms; Output feedback; Stochastic processes; Stochastic systems; Systems biology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
ISSN :
0743-1619
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2007.4282770
Filename :
4282770
Link To Document :
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