Experimental Performance Analysis of Inverted Pendulum Platform

Du, Dajun; Li, Wangpei; Zhan, Bin; Fei, Minrui; Yang, Tingting

doi:10.1007/978-981-10-2669-0_46

Cited by 6 publications

(2 citation statements)

References 13 publications

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“…The inverted pendulum system has been typically studied in control system subjects, and currently, learning experiences continue to be developed, including control techniques and modern technologies [28][29][30][31][32][33][34]. The learning environment ROS also facilitates the study of these new techniques, as modifications to the model and controller design are made using open source software libraries with broad support [35].…”

Section: Journal Of Applied Mathematicsmentioning

confidence: 99%

Integrating ROS and IoT in a Virtual Laboratory for Control System Engineering

Urrea

Kern

2020

Journal of Applied Mathematics

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This article presents the implementation of a learning environment for the teaching of control systems. This environment integrates physical equipment and simulation, monitoring, and control through a network. A software platform based on ROS (Robotic Operating System) grants access to the system through intranet and Internet, facilitating the integration of new test equipment. The environment developed can be used in didactic experiences both inside and outside the classroom, enhancing the learning of four main study topics: modeling, analysis, parameter estimation, and controller design.

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Section: Journal Of Applied Mathematicsmentioning

confidence: 99%

Integrating ROS and IoT in a Virtual Laboratory for Control System Engineering

Urrea

Kern

2020

Journal of Applied Mathematics

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“…provided in [37, pp.439] is used for a comparison. Note that [37] is based on the same inverted pendulum experimental set-up as Fig. 5.…”

mentioning

confidence: 99%

Designing Discrete Predictor-Based Controllers for Networked Control Systems with Time-varying Delays: Application to A Visual Servo Inverted Pendulum System

Deng

Léchappé

Zhang

et al. 2022

IEEE/CAA J. Autom. Sinica

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A discrete predictor-based control method is developed for a class of linear time-invariant networked control systems with a sensor-to-controller time-varying delay and a controller-to-actuator uncertain constant delay, which can be potentially applied to vision-based control systems. The control scheme is composed of a state prediction and a discrete predictorbased controller. The state prediction is used to compensate for the effect of the sensor-to-controller delay, and the system can be stabilized by the discrete predictor-based controller. Moreover, it is shown that the control scheme is also robust with respect to slight message rejections. Finally, the main theoretical results are illustrated by simulation results and experimental results based on a networked visual servo inverted pendulum system. Index Terms-Networked control system, vision-based control, time-varying delay, inverted pendulum system, discrete predictorbased control. I. INTRODUCTION A. Motivations V ISION-BASED sensors are widely used in various control applications (e.g. self-driving cars [1], [2], robots [3], UAVs [4], and inverted pendulums [5]-[7]) due to their low cost (compared with LIDAR [2, pp.176]) and the rapid progress of image-processing-based sensing techniques (e.g. indoor navigation [8], collision avoidance [9]). In such a Manuscript

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An Novel Selective Image Encryption Algorithm For Networked Visual Inverted Pendulum

Xing

Zhang

2020

IFAC-PapersOnLine

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Experimental Performance Analysis of Inverted Pendulum Platform

Cited by 6 publications

References 13 publications

Integrating ROS and IoT in a Virtual Laboratory for Control System Engineering

Integrating ROS and IoT in a Virtual Laboratory for Control System Engineering

Designing Discrete Predictor-Based Controllers for Networked Control Systems with Time-varying Delays: Application to A Visual Servo Inverted Pendulum System

An Novel Selective Image Encryption Algorithm For Networked Visual Inverted Pendulum

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