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The proposed backstepping controller is enhanced with an adaptive dynamic surface technique and an H∞ control scheme.
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Network control is enhanced by adding radio environment intelligence to controllers.
Since the optimal control law provided by the Minimum Principle is open loop, a backstepping controller is designed to provide a stabilizing feedback law based on the optimal control inputs.
A robust integral backstepping controller is designed in this paper in order to control a new structure of twin wind turbines.
Then the recursive backstepping controller is designed by Lyapunov technique to realize the displacement control of EHS.
With simply measuring mover position, an observer-based backstepping controller is constructed to ensure satisfactory performance.
In order to account for the uncertainties and the nonlinearities, an adaptive backstepping controller is proposed.
A nonlinear recursive backstepping controller is proposed and the transient performance is investigated.
The performance of backstepping controller is then compared with unity feedback controller applied to the same system.
A B-spline backstepping controller is proposed for a class of multiple-input multiple-output (MIMO) nonlinear systems.
Wavelet backstepping controller is the principal controller while robust controller is designed to achieve the desired performance by attenuating the effect of approximation error caused by wavelet identifier.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com