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Simulation results for different types of process transfer function, including non minimum-phase processes or processes with dead time, show well damped responses with smooth control actions minimizing the total variation of the controller input.
The effects of the variation of the controller coefficients on the maximum allowable time delay of the systems are investigated and the stability domains in the space of the uncertain delay and the controller coefficients are computed.
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The objective is to obtain proper transient responses with smooth control actions minimizing the variations of the controller output, hence preserving actuators from untimely attrition.
This neural network stabilizer then operates, in a gain-scheduling scheme, in accordance with the values of active and reactive powers furnished by the generator to the power system, but with soft transition variations of the controller parameters.
In this paper the explicit LPV-MPC scheme is extended to incorporate limits on the rate of parameter variation in the controller design.
Furthermore, because drift of the piezostator characteristics will cause variation of the motor speed, a controller is thus necessary in order to produce a constant output speed.
Using the proposed controller, the position control of an induction motor is designed and the effects of the parameter uncertainty and the load torque variations on the performance of the controller are investigated.
This work analyzes the effect of these variations and describes the architecture of the controller, its design, and the mechanism to compensate the network frequency variations.
First, a simplified reactor model is used to show that disturbances in the inlet flow rate and variation of the parameters in the PI2 controller may give rise to a homoclinic orbit.
To examine the robustness of the controller, parameter variations and nonlinearities in the system are considered.
The state and input constraints are satisfied, and the robustness of the controller to variations in the aerodynamic parameters has increased significantly compared to a nominal, non-robust controller.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com