"feedback error" is correct and usable in written English.
It is typically used to indicate an error in a feedback loop that has caused a malfunction or interruption in a system. For example, "The temperature control system failed due to a feedback error in the pressure sensor."
First, multivariate nonlinear planning is applied to the feedback error learning of parameters.
The feedback error learning method is formulated as a two-degree-of-freedom adaptive control.
As a result, the feedback error negatively impacts the CoMP throughput gain of RUEs as illustrated in Figure 12.
The feedback error function derived from searching for an optimal CPT is applied to reduce the learning errors.
Concerning missing quantitative data, we introduce multivariate function planning and apply feedback error searching based on a GA.
The basic idea is shifting the PID parameters appropriately according to the amplitude of the feedback error.
The method was validated by three sensor modalities with simulated data designed to impose difficult estimation situations, and with real EEG data recorded in a feedback error-related potential paradigm.
Most reward-related electroencephalogram (EEG) studies focus exclusively on the feedback-related negativity (FRN, also known as feedback negativity or FN, medial-frontal negativity or MFN, feedback error-related negativity or fERN, and reward positivity or RewP).
Fig. 7 Feedback-error-learning model [30].
From the motor-control perspective, we postulate that the feedback-error-learning model [30] functions by auditory feedback.
An evolutionary feedback-error-learning method for automatic elicitation of knowledge in the form of fuzzy if-then rules is developed.
