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Numerical simulations are carried out to verify the efficiency of the controller.
Thereafter, the efficiency of the controller is evaluated both in time and frequency domains.
Simulation and experimental results obtained with the robot confirm the efficiency of the controller designed.
The efficiency of the controller is demonstrated by a stochastic mechanical model.
The efficiency of the controller and the relevance of the theoretical approach is demonstrated through experimental implementation results.
A simulation of the closed-loop dynamics is carried out in order to show the efficiency of the controller proposed.
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The efficiency of the controllers is compared by using aerodynamic efficiency η aero and electrical η elec efficiency.
Furthermore, a systematic algorithm is developed to improve the efficiency of the controllers design process.
This paper improves efficiency of the controllers in Takagi-Sugeno fuzzy models, by having into account the shape of the membership functions in a particular region of interest.
To validate the effectiveness of the proposed controller, simulations and experiments are conducted for a desired characteristic trajectory, and the performance of the proposed controller has been compared with conventional controllers and recently developed controllers to illustrate the usefulness and efficiency of the proposed controller.
To evaluate the efficiency of the proposed controller, the obtained results are compared with those of Proportional Integral Derivative (PID) controller and Optimal Fuzzy PID (OFPID) controller, which are the most recent researches applied to the present problem.
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