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To attenuate the multifrequency gearbox vibrations and resulting noise, a new scheme of discrete model predictive sliding mode control has been proposed based on controlled auto-regressive moving average model.
Sliding mode control has been applied in vehicle longitudinal distance control.
The results show that the PMSM with the sliding mode control has a good dynamic performance and steady state accuracy.
Sliding mode control has limitations due to the phenomenon of chattering which damages the actuator; this problem is overcome using a continuous function.
Sliding mode control has been used extensively in robotics to cope with parametric uncertainty and hard nonlinearities, in particular for time-delay teleoperators, which have gained gradual acceptance due to technological advancements.
Although the general sliding mode control has the robust property, bounds on the disturbances and parameter variations should be known a priori to the designer of the control system.
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The proposed controllers, based on sliding mode control, have been shown to achieve state (hence output) boundedness.
Finite-time fractional-order adaptive intelligent backstepping sliding mode control have been proposed to deal with uncertain fractional-order chaotic systems [27].
The standard-mode control has feedforward and feedback components: feedforward is from online solution of a finite-horizon optimal control problem; feedback is designed offline to provide robustness to system uncertainty and disturbances and to establish an invariant "state tube" that guarantees standard-mode re-solvability at any time.
A 50 Hz pellet injection system, which is designed for edge-localized mode (ELM) control, has been successfully developed and integrated for the Experimental Advanced Superconducting Tokamak (EAST).
In this research, a sliding mode controller for wheel slip control has been designed based on a two-axle vehicle model.
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