Results 41 to 50 of about 165 (128)

Model-Free Adaptive Path Tracking Control Based on Active Disturbance Rejection Control for AUVs

水下无人系统学报
In view of the task requirements of accurate recovery of autonomous undersea vehicles(AUVs), a model-free adaptive control based on the active disturbance rejection control(ADRC-MFAC) algorithm was proposed from the perspective of model-free control, so ...
Shaobo FU, Xiawei GUAN, Hao ZHANG
doaj   +1 more source

A Data‐Driven Adaptive Damping Control Method of Doubly Fed Induction Generators for Renewable‐Integrated Power Systems

IET Generation, Transmission &Distribution, Volume 19, Issue 1, January/December 2025.
This paper proposes a data‐driven adaptive damping control method of doubly fed induction generators for damping enhancement, which depends only on real‐time input/output data and can accommodate variations of system operating conditions. It consists of three main components: a pseudo‐gradient updater, a sliding mode control module and an optimal ...
Hao Ying, Xuechun Zhang, Longjie Tao, Zhen Wang, Deqiang Gan   +4 more
wiley   +1 more source

Model-Free Multi-Parameter Optimization Control for Electro-Hydraulic Servo Actuators with Time Delay Compensation

Actuators
System time delays and nonlinear unmodeled dynamics severely constrain the control performance of the Active Suspension Electro-Hydraulic Servo Actuator (ASEHSA). To tackle these challenges, this paper presents a Dynamic Error Differentiation-based Model-
Haiwu Zheng, Hao Xiong, Dingxuan Zhao, Yinying Ren, Shuoshuo Cao, Ziqi Huang, Zeguang Hu, Zhuangding Zhou, Liqiang Zhao, Liangpeng Li   +9 more
doaj   +1 more source

ATO Controller for High-speed Train Based on Model-Free Adaptive Control

机车电传动, 2021
In view of the problems of dynamic model mismatch of traditional controller and potential safety hazards of driver operation when the high-speed train operated in a changeable and complex environment, a high speed train automatic driving controller ...
Ri LIU, Tong SUN, Yiwei ZHANG, Mengjiao LI, Junying CHU, Sheng ZHANG   +5 more
doaj  

Robust Multi‐Agent Reinforcement Learning Against Adversarial Attacks for Cooperative Self‐Driving Vehicles

IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.
To ensure the safety and reliability of multi‐agent autonomous driving systems, this paper proposes a robust constrained cooperative multi‐agent reinforcement learning (R‐CCMARL) algorithm for self‐driving vehicles, enabling robust driving policy to handle strong and unpredictable adversarial attacks.
Chuyao Wang, Ziwei Wang, Nabil Aouf
wiley   +1 more source

An Enhanced Security Autonomous Control System for Unmanned Rubber‐Tired Vehicles Operating in Underground Mines

Journal of Advanced Transportation, Volume 2025, Issue 1, 2025.
The operating environment in underground mines is complex and fraught with various hazards that pose severe risks to miners’ safety. As an essential auxiliary transportation device in mines, the operational safety and reliability of rubber‐tired vehicles are crucial to coal mine production safety and efficiency.
Zhen Tan, Changzhong Ren, Yongjun Gao, Liang Gao, Baorui Jia, Yuan Nie, Ming Du, Ziyan Ma, Mohammad Rezwan Habib   +8 more
wiley   +1 more source

IPSO-Optimized DE-MFAC Strategy for Suspension Servo Actuators Under Compound-Degradation Faults

Actuators
The dynamic response accuracy of suspension servo actuators directly determines the vibration-reduction performance of active-suspension systems. However, during long-term service, the system is prone to the influence of compound-degradation faults, such
Hao Xiong, Dingxuan Zhao, Haiwu Zheng, Xuechun Wang, Ziqi Huang, Zeguang Hu, Zhuangding Zhou, Liqiang Zhao, Liangpeng Li   +8 more
doaj   +1 more source

Model complexity optimization of equivalent dynamical linearization data models used in model‐free adaptive control

Proceedings in Applied Mathematics and Mechanics, Volume 24, Issue 4, December 2024.
Abstract This paper discusses a strategy for optimizing the complexity of time‐varying data models as used in model‐free adaptive control (MFAC). Here the dynamic linearization in compact form (CFDL), partial form (PFDL), and full form (FFDL) are considered as data models used to describe input/output (I/O) data sets.
Soheil Salighe, Dirk Söffker
wiley   +1 more source

Fractional-Order MFAC with Application to DC Motor Speed Control System

Mathematics
Model-free adaptive control (MFAC) can carry out various tasks using only I/O data, providing advantages such as lower operational costs, higher scalability and easier implementation. However, the robustness of MFAC remains an open problem. In this paper,
Haizhen Wang, Huihua Jian, Jianhua Huang, Yonghong Lan   +3 more
doaj   +1 more source

Interval compression‐based model‐free control algorithm for reducing actuator execution frequency

IET Control Theory &Applications, Volume 18, Issue 18, Page 2583-2593, December 2024.
This paper presents a novel model‐free control algorithm that relies solely on the system's inputs and outputs. The implementation is straightforward, can satisfy bounded control inputs, and allows for arbitrary adjustment of the actuator's execution frequency.
Yitong Zhou, Jing Chang, Weisheng Chen, Hao Dai   +3 more
wiley   +1 more source