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| - | =Full model= | + | =Design of the controller= |
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| - | The complete model of our vanillin producing bacteria is shown in the next figure. The boxes around some species have now biological meaning
| + | =Stability= |
| - | they merely serve to distinguish between the different subcomponents of our system.
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| - | [[Image:Fullmodel.jpg|750px|center|thumb|Biological model of our system]]
| + | =Tracking problem= |
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| - | Because we want to optimize the design of the feedback loop in our system, we developed a block scheme of the
| + | =Disturbance rejection= |
| - | bacteria. Which can be used to develop some theories about its performance.
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| - | [[Image:Blockmodel.jpg|750px|center|thumb|Block model of the system]]
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| - | =Control theory=
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| - | 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.
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| - | ==Stability==
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| - | 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.
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| - | ==Tracking problem==
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| - | 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.
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| - | ==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.
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| - | ==Robustness==
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| - | As with every model, our model of the bacteria is not perfect. Robustness is an property of a property, we say that the stabilizes the system in a robust way if also stabilizes all systems that are similar to the modelled system. It's then assumed that the controller will also stabilize the real system as it is also assumed to be similar to the modelled system.
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| - | =Biological implications=
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| - | Because the controller has to be implemented in 'biological technology', we optioned for the simplest possible design of
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| - | controller, the proportional controller.
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| - | The gain in the feedback loop can be adjusted by the use of low/high copy plasmids for the genes involved in the the transduction of the signal in the feedback loop.
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| | + | =Robustness= |
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| | {{Team:KULeuven/Common2/PageFooter}} | | {{Team:KULeuven/Common2/PageFooter}} |
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