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Changes all occurences of steady-state to steady state as per #84
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ModelicaByExample/BasicEquations/LotkaVolterra/QuiescentModel.mo

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within ModelicaByExample.BasicEquations.LotkaVolterra;
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model QuiescentModel "Find steady-state solutions to LotkaVolterra equations"
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model QuiescentModel "Find steady state solutions to LotkaVolterra equations"
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parameter Real alpha=0.1 "Reproduction rate of prey";
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parameter Real beta=0.02 "Mortality rate of predator per prey";
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parameter Real gamma=0.4 "Mortality rate of predator";

ModelicaByExample/BasicEquations/LotkaVolterra/QuiescentModelUsingStart.mo

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within ModelicaByExample.BasicEquations.LotkaVolterra;
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model QuiescentModelUsingStart "Find steady-state solutions to LotkaVolterra equations"
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model QuiescentModelUsingStart "Find steady state solutions to LotkaVolterra equations"
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parameter Real alpha=0.1 "Reproduction rate of prey";
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parameter Real beta=0.02 "Mortality rate of predator per prey";
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parameter Real gamma=0.4 "Mortality rate of predator";

text/source/components/architectures/sensor_comparison_ad.rst

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Note how, even with an adequate sensor, the controller in our
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``Variant1`` configuration seems to be converging to the wrong
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steady-state speed. This is because we are only using a proportional
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steady state speed. This is because we are only using a proportional
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gain controller. However, if we extend from the ``Variant1`` model
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and add a PID controller and a more realistic actuator with
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limitations on the amount of torque it can supply, *i.e.*,

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