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Simulation results of neural network controller show a more steady quality and extended time of charging.
The simulation results of the H∞ robust controller show a significant improvement of the performance with respect to those obtained with traditional PID controller, which is currently used on our machine.
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The MPC controller shows a significant ability in controlling the micturition process and bringing the bladder behavior to its normal function pattern while satisfying the nerve signal constraints.
Simulation results in the control of aircraft flight of large angle of attack indicate that the direct surge margin controller shows a better performance than the traditional controller.
Simulation studies evidence that in comparison with a well-tuned linear controller the nonlinear controller shows a superior performance with respect to setpoint-changes and disturbances, even in the presence of unknown input delays.
In comparison to a well tuned linear controller the nonlinear controller shows a superior performance with respect to setpoint-changes and disturbances, even in the presence of unknown input delays.
The controllers show a good performance in terms of energy extraction and load reduction.
The results from the basic scenario show that our strategy can always overtake the opponent car; in particular, our strategy is slightly more risky than the other ones and may result in a little damage, however, all the other controllers show a more careful and safe policy that often prevents them to complete an overtaking maneuver.
Assuming that the sensor transmission decisions are event-based and determined using the random estimation error covariance information available to the controller, we show a separation in the design of the transmission scheduler and controller.
Simulations of a third order sliding mode controller show the feasability of the approach.
In the control theory area one of the most successful schemes is the indirect adaptive control strategy; however, one of the most important problems of this approach is the identification phase, because only if an excellent approximation of the nonlinear system is achieved the controller will show a good performance.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com