Team:KULeuven/Design/Integrated Model

From 2009.igem.org

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==Disturbance rejection==
==Disturbance rejection==
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Most controlled system are disturbed by other systems in their neighbour hood, in our case imagine someone adding a extra amount vanillin to the aqueous medium. We do not want to see these disturbances in our output of vanillin.
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The disturbance rejection criteria indicates the ability of the system to reject those inputs.
==Robustness==
==Robustness==

Revision as of 14:20, 25 September 2009


Full model

The complete model of our vanillin producing bacteria is shown in the next figure. The boxes around some species have now biological meaning they merely serve to distinguish between the different subcomponents of our system.

Biological model of our system

Because we want to optimize the design of the feedback loop in our system, we developed a block scheme of the bacteria. Which can be used to develop some theories about its performance.

Block model of the system

Control theory

Control theory is an interdisciplinary branch of engineering and mathematics, that deals with the behavior of dynamical systems. The purpose is to design a controller who controls the system so that it behaves as wanted. There exists several criteria to measure the performance of the controller.

Stability

Stability means that no matter what the input signal (the blue light) is, the output (vanillin concentration) will remain finite after an infinite amount of time.

Tracking problem

This criterium is an indication of how well the output well follow the wanted reference system, we want the difference between the output and the wanted reference signal as small as possible.

Disturbance rejection

Most controlled system are disturbed by other systems in their neighbour hood, in our case imagine someone adding a extra amount vanillin to the aqueous medium. We do not want to see these disturbances in our output of vanillin. The disturbance rejection criteria indicates the ability of the system to reject those inputs.

Robustness

Biological implications