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This framework yields a constrained generalized ILC algorithm which embeds system input and output constraints.
To guaranty high accuracy the model is adapted online using system input and output data.
After identifying the boundaries of the system, input and output flows are calculated in exergy values.
The 2-D WSFE model is highly efficient computationally and provides a direct relationship between system input and output in the frequency domain.
A terminal output tracking error model is obtained by using a system input and output algebraic function as well as the differential mean value theorem.
The developed monitoring framework is particularly useful to analyze underdetermined systems due to insufficient sensor data for explicit relations between force and deformation as the system input and output, respectively.
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The proposed impulse model incorporates the duty ratio and input frequency of the triangular waveform of counter mass relative displacement as the system input and outputs the estimated step size and the behavior of the stepping motion.
Solution of the problem assumes the checking redundancy relations existing among measured system inputs and outputs.
We use a predefined set of candidate production strategies, previously optimized for representative models, which reflect system inputs and outputs.
Model predictive control (MPC) applications in the process industry usually deal with process systems that show time delays (dead times) between the system inputs and outputs.
The degree to which system inputs and outputs depart from their nominal values is used to give an estimate of stability and performance quality, respectively.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com