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Thirdly, feedback linearization (FL) based control law is implemented for the control model using the estimates generated by reduced-order LESOs.
Since the system states are difficult or barely impossible to be accurately measured, an observer based control law is proposed to guarantee system stability, meanwhile, an H2/H∞ index is employed for further improving the control performance.
Second, based on the principle of active disturbance rejection control (ADRC), enhanced feedback linearization (FL) based control law is implemented for the IGC model using the estimates generated by reduced-order ESO.
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The observer-based control law is found using the backstepping approach for second-order hyperbolic PDE.
An energy-based control law is used to swing up the pendulum.
To resolve these issues, a model-free energy exchanging and dropping-based control law is proposed to achieve output (only position/swing-angle) feedback control for overhead cranes.
The torque based control law of the wheels is designed, so that the desired pitch control torque is provided and the operation of charging/discharging energy is carried out based on the given power.
Several novel robust control laws were tested, including a μ-synthesis based control law, a DVDFB (Direct Velocity and Displacement FeedBack) control law and a linearly interpolated gain scheduling law.
An input-to-state stable (ISS) based tether rate control law is derived as the reference signal for the tether length system.
The proposed control law is based on two points: NGPC-based torque-current control loop generating the rotor reference voltage and NGPC-based speed control loop that provides the torque reference.
The proposed control law is based on a filtered disturbance estimator and a generalized feedforward compensation which can be applied to any Artstein based predictor.
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CEO of Professional Science Editing for Scientists @ prosciediting.com