Sentence examples for mode control algorithms from inspiring English sources

In this paper, two sliding mode control algorithms are developed for nonlinear systems with both modeling uncertainties and actuator faults.

Sliding mode control algorithms that are inherently robust to external disturbances and plant uncertainties are very good candidates for improving the robustness and accuracy of the flight control systems.

In this paper, we present sliding mode control algorithms, that are designed to practically stabilize (which means that the system state is stabilized to an ɛ neighborhood of the origin) the perturbed multidimensional Heisenberg system (therefore, with a drift) with additional two multidimensional integrators in the control inputs path.

To deal with uncertain system dynamics and external disturbance, an adaptive sliding mode control algorithm is adopted as the hydrogen flow rate controller for regulating hydrogen flow rate by manipulating methanol flow rate.

Especially for ordinary traffic, a sliding mode control algorithm is designed to compensate the input delay.

A sliding mode control algorithm with velocity compensation is proposed to reduce tracking errors.

A sliding mode control algorithm for discrete-time uncertain systems at higher sampling rates is proposed in this paper.

This paper gives the adaptive fuzzy sliding mode control algorithm as well as the stability-state analysis.

Next, for tuning the semi-active mode, a sliding mode control algorithm was proposed which considers the inherent nonlinear parasitic force of the EM damper.

In this paper, a sliding mode control algorithm combined with a fuzzy control scheme is developed for the trajectory control of a command guidance system.

The development and implementation of an integral sliding mode control algorithm for closed loop control of a DC-DC buck converter is presented in this paper.