Sentence examples for controller effort from inspiring English sources

The experimental results suggest that the proposed method outperforms opponent methods in terms of controller effort, measures associated with transient response and criteria related to steady-state.

The PID controller gains are formulated as the optimal state-feedback gains, corresponding to the standard quadratic cost function involving the state variables and the controller effort.

The tuning rules are developed for a minimum time domain integral performance index described by a weighted sum of error index and controller effort.

A real coded Genetic Algorithm (GA) has been used next to optimally find out the weighting matrices, associated with the respective optimal state-feedback regulator design while minimizing another time domain integral performance index, comprising of a weighted sum of Integral of Time multiplied Squared Error (ITSE) and the controller effort.

As a result, by utilizing this type of controller, control effort remains less than 25°, which is the maximum pitch angle of the wind turbine, remains limited in the third area.

The closed loop performances and controller efforts in each case are compared with conventional PID, fuzzy PID and PIλDμ controller subjected to different integral performance indices.

The invariance of the connectivity controller implies that its control effort has zero vertical component.

Simulation results show that how positions and number of loudspeakers and microphones will change the performance of the controller and its corresponding control effort.

From the simulation results, it is verified that the chaotic behavior of two nonlinear identical chaotic gyros can be synchronized by the proposed SLPIDC scheme without the chattering phenomena in the control effort after the controller parameters learning.

Simulation results show that the interval type-2 fuzzy logic system can handle unpredicted internal disturbance, data uncertainties, very well, but the adaptive type-1 fuzzy controller must spend more control effort in order to deal with noisy training data.

Simulation results show that the interval type-2 fuzzy logic system can handle unpredicted internal disturbances data uncertainties, very well, but the adaptive type-1 fuzzy controller must expend more control effort in order to handle noisy training data.