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That is the true system.
In the modeling phase, only input output data pairs provided from the true system are required.
The true system does not need to be known for the control design.
A difficulty is that the solution often depends on the true system.
Often such improvements developed under research station conditions fail to address the true system problems or farmer concerns.
The main idea is to directly estimate the maximizing input signal by using iterative experiments on the true system.
We also propose a mobile sensor deployment strategy to produce the most accurate estimate of the true system state.
The flexible fixture substructure needs to be removed (decoupled) from the experimental substructure to obtain the true system characteristics.
Further, we are able to show that hybrid simulation can falsely predict chaotic or periodic response when the true system has the opposite characteristic.
We also propose a verification procedure to justify that the estimated modal parameters are noise insensitive and thus indeed associated with the true system.
In particular, a frequency domain interpretation is provided, based on the use of Volterra series representations for the true system and the considered model structure.
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