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Improved Trajectory Tracking for Car-Like Mobile Robots

Improved Trajectory Tracking for Car-Like Mobile Robots
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Muhammad osamaSusha cheriyedathMuhammad osamamayResearch findingsTrajectory trackingCar like mobile robotsImproved trajectory trackingCar like mobileTracking controlCar like mobile robots basedExtended state observer

Tracking-Differentiator-Based Sliding-Mode Control for Tracking Contro by Wenfei Li, Boyuan Li et al

Tracking control has attracted significant attention because of its close link with industrial applications. Tracking control requires that a control algorithm can ensure that an actuator follows control commands, with a fast response anti-disturbance abilities and small chattering. A tracking-differentiator-based sliding-mode control approach for tracking control is proposed in this paper. A tracking differentiator has the ability to obtain the desired signal's differential signal, even when there is noise in the desired signal. A differential signal is often required in the design of sliding-mode controllers. When tracking differentiator is applied to a sliding-mode controller, the chattering of the control commands (caused by noise disturbance) can be reduced while the fast response of the sliding-mode controller can be maintained. The simulation results show that the proposed controller is effective.

Sliding mode controlTracking controlRacking differentiator

China-Latin America Space Cooperation: An Overview

As China has increased its political and economic cooperation with Latin America, it also expanded its space engagement with the region.

United statesLa pazRio gallegosSanta cruzNicholas maduroBartolina sisaChristina fernandezFelix aguilarCalan hillTupac katariTianwen marsLaura richardsonEmanuel riosGreat wall industrial corporationAsia pacific space cooperation organizationCommunity of latin american

Adaptive Resilient Event-Triggered Control Design of Autonomous Vehicl by Kun Zhang, Rong Su et al

Abstract This article investigates the adaptive resilient event-triggered control for rear-wheel-drive autonomous (RWDA) vehicles based on an iterative single critic learning framework, which can effectively balance the frequency/changes in adjusting the vehicle s control during the running process. According to the kinematic equation of RWDA vehicles and the desired trajectory, the tracking error system during the autonomous driving process is first built, where the denial-of-service (DoS) attacking signals are injected into the networked communication and transmission. Combining the event-triggered sampling mechanism and iterative single critic learning framework, a new event-triggered condition is developed for the adaptive resilient control algorithm, and the novel utility function design is considered for driving the autonomous vehicle, where the control input can be guaranteed into an applicable saturated bound. Finally, we apply the new adaptive resilient control scheme to a

Adaptive dynamic programming adpAutonomous vehicleEvent triggered controlOptimal controlEsilient controlTracking control