Sentence examples for moving average controller from inspiring English sources

Not only do such design results clearly reveal when and why the conventional exponentially weighted moving average controller is not the best choice, but they also indicate that the second-order filter would constitute the best controller structure and achieve superior performance.

In addition, input/output measurements of the nonlinear model were used to train the Multi-Layer Neural Networks (MLNNs) of the Nonlinear AutoRegressive with Moving Average NARMA-L22) controller.

The proposal of this study is a new nonlinear autoregressive moving average, NARMA-L2 controller, which is based on an adaptive neuro-fuzzy inference system, ANFIS architecture.

Firing rates were calculated using a bin size of 1 s instead of the exponential moving average used by controller (Equation 1 ) to facilitate comparison with Figure 2 figure supplement 5 since the firing-rate filter time constant is manipulated in that experiment.

The process controller is designed as an exponentially weighted moving average (EWMA) run-to-run controller to reject disturbances, such as process shift, drift and tool worn out, that are exerted to the operation.

The proposed controller utilizes moving average filter (MAF) for the extraction of positive sequence fundamental component of distorted supply voltage.

The original coal flow design is based on vessel weight variation along the time, a moving average and an ordinary PID controller.

For the controller, various nonlinear autoregressive integrated moving average with external input (NARIMAX) models were used and the model parameters were calculated by applying Bierman algorithm.

This work proposes a simple and easy to use design recipe for the proportional integral digital controller of a Phase Locked Loop using moving average filter and multiplier type phase detector.

Then a controlled auto-regressive integrated moving average (CARIMA) model whose parameters are identified by the recursive least squares (RLS) algorithm is developed as an online self-tuning predictive model for a GPC controller.

In this paper, criteria for closed-loop identification of an autoregressive, moving average process with exogenous input (ARMAX) regulated with an arbitrary, rational, polynomial controller are derived.