Results 11 to 20 of about 755 (156)

VSDRL: A robust and accurate unmanned aerial vehicle autonomous landing scheme [PDF]

open access: yesIET Control Theory &Applications, Volume 19, Issue 1, January/December 2025.
Visually assisted unmanned aerial vehicle (UAV) autonomous landing has drawn a lot of interest as a vital technology with the quick development of UAV systems.
Chen, Dechao   +4 more
core   +2 more sources

Robust Intrusion Detection for Resilience Enhancement of Industrial Control Systems: An Extended State Observer Approach [PDF]

open access: yes, 2022
We address the problem of attack signal estimation in industrial control systems that are subjected to actuator false data injection attack (FDIA) and where the sensor measurements are corrupted by non-negligible high-frequency measurement noise.
Ahmad, Saif, Ahmed, Hafiz
core   +2 more sources

Adaptive Interval Type-2 Fuzzy Neural Network Sliding Mode Control of Nonlinear Systems Using Improved Extended State Observer

open access: yesMathematics, 2023
An adaptive sliding mode control (ASMC) based on improved linear extended state observer (LESO) is proposed for nonlinear systems with unknown and uncertain dynamics.
Lunhaojie Liu, Juntao Fei, Xianghua Yang
doaj   +1 more source

Active disturbance rejection control based on inertia estimation and variable gain for servomechanism of industrial robot

open access: yesMeasurement + Control, 2022
This paper proposes an adaptive PID controller based on linear extended state observer (LESO) for the two-degree-of-freedom joint servomechanism of industrial robot with time-varying load, uncertainties of parameters and disturbance.
Wei Jiang   +4 more
doaj   +1 more source

A Novel Method of Robust Trajectory Linearization Control Based on Disturbance Rejection [PDF]

open access: yes, 2014
A novel method of robust trajectory linearization control for a class of nonlinear systems with uncertainties based on disturbance rejection is proposed.
Honglun Wang, Xingling Shao
core   +5 more sources

Aperiodic Sampled-Data Takagi-Sugeno Fuzzy Extended State Observer for A Class of Uncertain Nonlinear Systems with External Disturbance and Unmodeled Dynamics [PDF]

open access: yes, 2021
For the extended state observer (ESO) design, the most challenging issue is to exploit efficient nonlinear observation performance, while maintaining desirable linear numerical tractability under noncontinuous transmission.
Huang, Congzhi   +4 more
core   +2 more sources

Observer Sliding Mode Control Design for lower Exoskeleton system: Rehabilitation Case [PDF]

open access: yes, 2022
Sliding mode (SM) has been selected as the controlling technique, and the state observer (SO) design is used as a component of active disturbance rejection control (ADRC) to reduce the knee position trajectory for therapeutic purposes.
Alaraji, Ahmed Sabah   +2 more
core   +2 more sources

Analysis and Control of Wind Power Grid Integration Based on a Permanent Magnet Synchronous Generator Using a Fuzzy Logic System with Linear Extended State Observer

open access: yesEnergies, 2019
Recently, wind energy conversion systems (WECSs) have attracted attention due to their effective application in renewable energy sources. It is a complex system with multi-variables, strong coupling, non-linearity, and variable parameters; however ...
Youjie Ma   +4 more
doaj   +1 more source

The Sliding Mode Control of the Drum Water Level Based on Extended State Observer

open access: yesIEEE Access, 2019
The characteristics of the drum water level system are strong disturbance, nonlinear, strong coupling and multivariable. The sliding mode control (SMC) technique has the advantages of quick response and strong robustness.
Cuiping Pu, Jie Ren, Jianbo Su
doaj   +1 more source

Linear active disturbance rejection control of waste heat recovery systems with organic Rankine cycles [PDF]

open access: yes, 2012
In this paper, a linear active disturbance rejection controller is proposed for a waste heat recovery system using an organic Rankine cycle process, whose model is obtained by applying the system identification technique.
Fang Fang   +5 more
core   +2 more sources

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