Researchclopedia

Research Researchers Institutions Topics Submit About

Command Palette

Search for a command to run...

Researchclopedia

Research Researchers Institutions About

© 2026 Researchclopedia. Powered by OpenAlex under CC0 license.

Peng Yu | Researchclopedia

Back to researchers

Peng Yu

Beijing University of Posts and Telecommunications ORCID

92

Works

791

Citations

16

h-index

27

i10-index

Research Topics

Soft Robotics and Applications Iterative Learning Control Systems Robotic Mechanisms and Dynamics

Affiliations

Jiangsu University2013–2020

Beijing University of Posts and Telecommunications2025–2025

Jinggangshan University1999–1999

Guangxi University2024–2024

Sun Yat-sen University2020–2025

Top Works

Engineering Support and Distribution of Palladium and Tin on MXene with Modulation of the d‐Band Center for CO‐resilient Methanol Oxidation

Shufen Chen,Ning Liu,et al.

202281 citations

Adaptive Control of Nonlinear Systems

Robot Manipulation and Learning

Data-Driven Control for Continuum Robots Based on Discrete Zeroing Neural Networks

Ning Tan,Peng Yu,et al.

202253 citations

FEM-BEM analysis of acoustic interaction with submerged thin-shell structures under seabed reflection conditions

Leilei Chen,Haojie Lian,et al.

202441 citations

Model-free motion control of continuum robots based on a zeroing neurodynamic approach

Ning Tan,Peng Yu,et al.

202040 citations

A Discrete Model-Free Scheme for Fault-Tolerant Tracking Control of Redundant Manipulators

Ning Tan,Zhaohui Zhong,et al.

202238 citations

Position-Based Visual Servo Control of Dual Robotic Arms With Unknown Kinematic Models: A Cerebellum- Inspired Approach

Peng Yu,Ning Tan,et al.

202336 citations

Robust model-free control for redundant robotic manipulators based on zeroing neural networks activated by nonlinear functions

Ning Tan,Peng Yu

202135 citations

A New Noise-Tolerant Dual-Neural-Network Scheme for Robust Kinematic Control of Robotic Arms With Unknown Models

Ning Tan,Peng Yu,et al.

202230 citations

Robust Incentives via Multi-level Tit-for-tat.

Qiao Lian,Peng Yu,et al.

200629 citations