Results 211 to 220 of about 1,355,935 (279)

A new adaptive sliding mode controller based on the RBF neural network for an electro-hydraulic servo system.

ISA transactions, 2022
Accuracy and robust trajectory tracking for electro-hydraulic servo systems in the presence of load disturbances and model uncertainties are of great importance in many fields.
Hao Feng, Qianyu Song, S. Ma, Wei Ma, C. Yin, Donghui Cao, Hongfu Yu   +6 more
semanticscholar   +1 more source

RBF Neural Network-Based Supervisor Control for Maglev Vehicles on an Elastic Track With Network Time Delay

IEEE Transactions on Industrial Informatics, 2022
When the electromagnetic suspension (EMS) type maglev vehicle is traveling over a track, the airgap must be maintained between the electromagnet and the track to prevent contact with that track. Because of the open-loop instability of the EMS system, the
Yougang Sun, Junqi Xu, G. Lin, Wen Ji, Lukun Wang   +4 more
semanticscholar   +1 more source

RBF Neural Network-Based Adaptive Robust Synchronization Control of Dual Drive Gantry Stage With Rotational Coupling Dynamics

IEEE Transactions on Automation Science and Engineering, 2023
As a typical mechatronics system, dual drive gantry stage has been widely used in high-end intelligent equipment. In this paper, an adaptive robust synchronization control scheme based on RBF neural network is presented to improve the synchronization ...
Pengwei Shi, Weichao Sun, Xuebo Yang
semanticscholar   +1 more source

Adaptive bias RBF neural network control for a robotic manipulator

Neurocomputing, 2021
Considering the bias of the dynamics which is a global trend of the dynamical equation because of the gravity or the constant payloads, two kinds of adaptive bias radial basis function neural network (RBFNN) control schemes, which are the local bias ...
Qiong Liu, Dongyu Li, S. Ge, Ruihang Ji, Zhong Ouyang, K. P. Tee   +5 more
semanticscholar   +1 more source

RBF Neural Network Based Virtual Synchronous Generator Control With Improved Frequency Stability

IEEE Transactions on Industrial Informatics, 2021
The virtual synchronous generator (VSG) based on the energy storage system is proposed to compensate the loss of inertia and damping of the power grid. Due to the introduction of inertia, VSG is more prone to power oscillation.
Fengjun Yao, Jinbin Zhao, Xiangjun Li, Ling Mao, K. Qu   +4 more
semanticscholar   +1 more source

An Improved UKF Algorithm for Extracting Weak Signals Based on RBF Neural Network

IEEE Transactions on Instrumentation and Measurement, 2022
It is difficult to extract effective weak signals from complex noise environment in many engineering applications. To address the problem, an improved unscented Kalman filter (UKF) algorithm based on a radial basis function-neural network (RBF-NN) is ...
Guanyu Zhang, Jinxin Luo, Hao Xu, Yitian Wang, Tianhao Wang, Jun Lin, Yang Liu   +6 more
semanticscholar   +1 more source

RBF-Neural-Network-Based Adaptive Robust Control for Nonlinear Bilateral Teleoperation Manipulators With Uncertainty and Time Delay

IEEE/ASME transactions on mechatronics, 2020
The bilateral teleoperation system has raised expansive concern as its excellent behaviors in executing the tasks in the remote, unstructured, and dangerous areas via the cooperative operation systems.
Zheng Chen, Fanghao Huang, Weichao Sun, J. Gu, B. Yao   +4 more
semanticscholar   +1 more source

PID control of an omnidirectional mobile platform based on an RBF neural network controller

Industrial robot, 2021
Purpose Omnidirectional mobile platforms are still plagued by the problem of heading deviation. In four-Mecanum-wheel systems, this problem arises from the phenomena of dynamic imbalance and slip of the Mecanum wheels while driving.
Zijie Niu, Peng Zhang, Yongjie Cui, Jun Zhang   +3 more
semanticscholar   +1 more source