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MOSI line of the controller is connected with the CMD/DI line of the card, and similarly MISO line of the controller is connected with DAT0/DO line of the card.
The controller sends a constant high value to the MOSI line, and the card also responds with a constant high value via MISO line of the controller.
After successful transmission of the command via MOSI line of the controller, CRM receives the command response from the card through MISO and then starts reading the data block(s) from the card along with the CRC bits.
The card sends back the response pattern in the MISO line of the controller, where "XXX00101" means the data block is accepted, "XXX01011" means the data block is rejected due to the CRC error, and "XXX01111" indicates that the data block is rejected due to the flash program error (in the pattern, "XXX" means do not care bits).
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Additionally, it does not rely on a clear line of sight meaning the controller does not have to be directly pointed at the console and it will continue to work if the signal is blocked by a person crossing in front of it.
In the on-line step of the controller design proposed procedure, a sub optimal control law is obtained by combining control configurations that correspond to particular subsets of available manipulated inputs.
These methods provide information about the patients dynamics, allowing the on-line autocalibration of the controller, using multiple linear regression techniques.
Stability of the closed-loop system is forced by considering in the off-line step of the controller design, a state contracting restriction for the closed-loop system.
On-line optimisation of the controller is achieved from within a commercial CACSD software package using H2 and H∞ measures of tracking as design objectives.
A salient feature of our results, shown in the present paper, is that the controller is linear and time-invariant one and we can tell the users how to tune on-line the parameters of the controller with the proposed robust and transient performance.
A singular value decomposition (SVD) based eigenstructure assignment (EA) technique is used to achieve on-line automatic redesign of the controller.
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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