World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
52
Citations
9631
World Ranking
2546
National Ranking
423

Overview

Jinpeng Yu is affiliated with Qingdao University in China and has made contributions primarily in the fields of Engineering and Computer Science. Their research focuses extensively on Control and Systems Engineering, with additional work in Computer Networks and Communications, Electrical and Electronic Engineering, Computational Theory and Mathematics, and Mechanical Engineering.

Their main research topics include:

  • Adaptive Control of Nonlinear Systems
  • Adaptive Dynamic Programming Control
  • Distributed Control Multi-Agent Systems
  • Sensorless Control of Electric Motors
  • Iterative Learning Control Systems
  • Neural Networks Stability and Synchronization
  • Fuzzy Logic and Control Systems

Jinpeng Yu has published extensively, contributing to research in several notable publication venues. The most frequent venues for their work are:

  • IEEE Transactions on Circuits & Systems II Express Briefs
  • IEEE Transactions on Fuzzy Systems
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Power Electronics
  • IEEE Transactions on Neural Networks and Learning Systems

The scientist has authored or coauthored several recent papers, including:

  • Neuroadaptive Finite-Time Control for Nonlinear MIMO Systems With Input Constraint, 2020, IEEE Transactions on Cybernetics
  • Observer-Based Finite-Time Adaptive Fuzzy Control With Prescribed Performance for Nonstrict-Feedback Nonlinear Systems, 2020, IEEE Transactions on Fuzzy Systems
  • Finite-Time Adaptive Fuzzy Control for MIMO Nonlinear Systems With Input Saturation via Improved Command-Filtered Backstepping, 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • Fixed-Time Prescribed Performance Adaptive Trajectory Tracking Control for a QUAV, 2021, IEEE Transactions on Circuits & Systems II Express Briefs
  • Neural Network-Based Finite-Time Command Filtering Control for Switched Nonlinear Systems With Backlash-Like Hysteresis, 2020, IEEE Transactions on Neural Networks and Learning Systems

Frequent coauthors who have collaborated with Jinpeng Yu include:

  • Jiapeng Liu
  • Qing-Guo Wang
  • Peng Shi
  • Lin Zhao
  • Xinkai Chen

Best Publications

  • Finite-time command filtered backstepping control for a class of nonlinear systems

    Jinpeng Yu;Peng Shi;Lin Zhao

  • Observer and Command-Filter-Based Adaptive Fuzzy Output Feedback Control of Uncertain Nonlinear Systems

    Jinpeng Yu;Peng Shi;Wenjie Dong;Haisheng Yu

  • Neural Network-Based Adaptive Dynamic Surface Control for Permanent Magnet Synchronous Motors

    Jinpeng Yu;Peng Shi;Wenjie Dong;Bing Chen

  • Barrier Lyapunov functions-based command filtered output feedback control for full-state constrained nonlinear systems

    Jinpeng Yu;Lin Zhao;Haisheng Yu;Chong Lin

  • Fuzzy Finite-Time Command Filtered Control of Nonlinear Systems With Input Saturation

    Jinpeng Yu;Lin Zhao;Haisheng Yu;Chong Lin

  • Combined Speed and Current Terminal Sliding Mode Control With Nonlinear Disturbance Observer for PMSM Drive

    Xudong Liu;Haisheng Yu;Jinpeng Yu;Lin Zhao

  • Adaptive Neural Command Filtering Control for Nonlinear MIMO Systems With Saturation Input and Unknown Control Direction

    Jinpeng Yu;Peng Shi;Chong Lin;Haisheng Yu

  • Adaptive Fuzzy Control of Nonlinear Systems With Unknown Dead Zones Based on Command Filtering

    Jinpeng Yu;Peng Shi;Wenjie Dong;Chong Lin

  • Adaptive finite-time bipartite consensus for second-order multi-agent systems with antagonistic interactions

    Lin Zhao;Lin Zhao;Yingmin Jia;Jinpeng Yu

  • Adaptive Neural Consensus Tracking for Nonlinear Multiagent Systems Using Finite-Time Command Filtered Backstepping

    Lin Zhao;Jinpeng Yu;Chong Lin;Yumei Ma

  • Observer-Based Finite-Time Adaptive Fuzzy Control with Prescribed Performance for Nonstrict-Feedback Nonlinear Systems

    Guozeng Cui;Jinpeng Yu;Peng Shi

  • Finite-Time Adaptive Fuzzy Control for MIMO Nonlinear Systems With Input Saturation via Improved Command-Filtered Backstepping

    Guozeng Cui;Jinpeng Yu;Qing-Guo Wang

  • Adaptive fuzzy tracking control for the chaotic permanent magnet synchronous motor drive system via backstepping

    Jinpeng Yu;Bing Chen;Haisheng Yu;Junwei Gao

  • Neural-Network-Based Adaptive Funnel Control for Servo Mechanisms With Unknown Dead-Zone

    Shubo Wang;Haisheng Yu;Jinpeng Yu;Jing Na

  • Fixed-Time Prescribed Performance Adaptive Trajectory Tracking Control for a QUAV

    Guozeng Cui;Wei Yang;Jinpeng Yu;Ze Li

  • Approximation-Based Discrete-Time Adaptive Position Tracking Control for Interior Permanent Magnet Synchronous Motors

    Jinpeng Yu;Peng Shi;Haisheng Yu;Bing Chen

  • Neural Network-Based Finite-Time Command Filtering Control for Switched Nonlinear Systems With Backlash-Like Hysteresis

    Cheng Fu;Qing-Guo Wang;Jinpeng Yu;Chong Lin

  • Command Filtering-Based Fuzzy Control for Nonlinear Systems With Saturation Input

    Jinpeng Yu;Peng Shi;Wenjie Dong;Chong Lin

  • Adaptive fuzzy dynamic surface control for induction motors with iron losses in electric vehicle drive systems via backstepping

    Jinpeng Yu;Yumei Ma;Haisheng Yu;Chong Lin

  • Neuroadaptive Finite-Time Control for Nonlinear MIMO Systems With Input Constraint.

    Jinpeng Yu;Peng Shi;Jiapeng Liu;Chong Lin

  • Neural networks-based command filtering control of nonlinear systems with uncertain disturbance

    Jinpeng Yu;Bing Chen;Haisheng Yu;Chong Lin

Frequent Co-Authors

Chong Lin
Chong Lin Qingdao University
Peng Shi
Peng Shi University of Adelaide
Bing Chen
Bing Chen Qingdao University
Qing-Guo Wang
Qing-Guo Wang University of Johannesburg
Yingmin Jia
Yingmin Jia Beihang University
Hak-Keung Lam
Hak-Keung Lam King's College London
Xuemei Ren
Xuemei Ren Beijing Institute of Technology
Jing Na
Jing Na Kunming University of Science and Technology
Hamid Reza Karimi
Hamid Reza Karimi Polytechnic University of Milan

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