Sentence examples for residual approximation from inspiring English sources
The auxiliary compensation controller is designed to suppress the influence of residual approximation error between the perfect controller and RCMAC.
The weights for neural networks and the bounds of residual approximation errors are estimated by using adaptive laws derived from the Lyapunov stability theorem.
The adaptive RCMAC is used to mimic an ideal sliding mode control (SMC) due to unknown system dynamics, and a robust controller is designed to recover the residual approximation error for guaranteeing the stable characteristic.
The solution for the acoustic pressure in the cavity is obtained as a weighted residual approximation, resulting in only two extra equations to be added to the existing structural equations.
In the proposed control system, an adaptive backstepping cerebellar model articulation controller (ABCMAC) is used to mimic an ideal backstepping control (IBC), and a robust H∞ controller is designed to attenuate the effect of the residual approximation errors and external disturbances with desired attenuation level.
In this NWC system, a wavelet neural network (WNN) controller is the principal tracking controller designed to mimic the perfect control law and an auxiliary compensation controller is used to recover the residual approximation error so that the favorable synchronization can be achieved.
The SOWC is used to mimic an ideal backstepping controller and the fuzzy compensator is designed to dispel the residual of approximation errors between the ideal backstepping controller and the SOWC.
The Residual DDF approximation does not consider the correlation of individuals among the same cluster and is calculated by subtracting 2 (the rank of X matrix in our settings) from the total number of individuals across all clusters.
Our anomaly detection uses thresholding approximation residual error, combined with a generic clustering technique to report a group of anomalous points as a single anomaly event.
The success of the variational or weighted residual method of approximation from a practical point of view depends on the suitable selection of the basis function.
As the reconstruction errors shown in Figure 7, JSRC gives a wrong prediction while IJSRC makes a right decision according to the minimum approximation residual criteria.
