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Zhongsheng Hou

Zhongsheng Hou

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
68
Citations
16812
World Ranking
1026
National Ranking
174

Overview

Zhongsheng Hou is affiliated with Qingdao University in China, focusing primarily on the fields of Engineering and Computer Science. Their research output includes a significant number of publications centered on Control and Systems Engineering, Computer Networks and Communications, Mechanical Engineering, Electrical and Electronic Engineering, and Computational Theory and Mathematics.

The scientist's recent papers reflect a focus on adaptive control, iterative learning, and nonlinear system optimization. Notable publications include:

  • "Enhanced P-Type Control: Indirect Adaptive Learning From Set-Point Updates" (2022, IEEE Transactions on Automatic Control)
  • "Model-Free Adaptive Control for Unknown MIMO Nonaffine Nonlinear Discrete-Time Systems With Experimental Validation" (2020, IEEE Transactions on Neural Networks and Learning Systems)
  • "Event-Triggered Model-Free Adaptive Iterative Learning Control for a Class of Nonlinear Systems Over Fading Channels" (2021, IEEE Transactions on Cybernetics)
  • "Data-Driven Formation Control for Unknown MIMO Nonlinear Discrete-Time Multi-Agent Systems With Sensor Fault" (2021, IEEE Transactions on Neural Networks and Learning Systems)
  • "Data driven model free adaptive iterative learning perimeter control for large-scale urban road networks" (2020, Transportation Research Part C Emerging Technologies)

Their frequent co-authors include Ronghu Chi, Xuhui Bu, Shangtai Jin, Yuan-Xin Li, and Biao Huang. These collaborations suggest a network of research activity within adaptive and iterative learning control systems.

Frequent publication venues provide insight into Zhongsheng Hou's primary outlets for disseminating research, featuring:

  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Intelligent Transportation Systems
  • International Journal of Robust and Nonlinear Control
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Automation Science and Engineering

The scientist has also contributed to academic literature through book publications with Springer Nature, including:

  • "Data-Driven Iterative Learning Control for Discrete-Time Systems" (2022)
  • "Predictive Learning Control for Unknown Nonaffine Nonlinear Systems" (2023)

Zhongsheng Hou's main topics of research encompass:

  • Iterative Learning Control Systems
  • Adaptive Control of Nonlinear Systems
  • Advanced Control Systems Optimization
  • Distributed Control Multi-Agent Systems
  • Adaptive Dynamic Programming Control
  • Railway Systems and Energy Efficiency
  • Neural Networks Stability and Synchronization

This profile indicates a consistent emphasis on complex control systems and adaptive methodologies within nonlinear and multi-agent frameworks, as well as an engagement with neural network applications and transportation system efficiency.

Best Publications

  • From model-based control to data-driven control: Survey, classification and perspective

    Zhong-Sheng Hou;Zhuo Wang

  • A Novel Data-Driven Control Approach for a Class of Discrete-Time Nonlinear Systems

    Zhongsheng Hou;Shangtai Jin

  • Data-Driven Model-Free Adaptive Control for a Class of MIMO Nonlinear Discrete-Time Systems

    Zhongsheng Hou;Shangtai Jin

  • On Model-Free Adaptive Control and Its Stability Analysis

    Zhongsheng Hou;Shuangshuang Xiong

  • An Overview of Dynamic-Linearization-Based Data-Driven Control and Applications

    Zhongsheng Hou;Ronghu Chi;Huijun Gao

  • Model Free Adaptive Control: Theory and Applications

    Zhongsheng Hou;Shangtai Jin

  • Automatic Train Control System Development and Simulation for High-Speed Railways

    Hairong Dong;Bin Ning;Baigen Cai;Zhongsheng Hou

  • Technical communique: Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition

    Ronghu Chi;Zhongsheng Hou;Jianxin Xu

  • Data-Driven Multiagent Systems Consensus Tracking Using Model Free Adaptive Control

    Xuhui Bu;Zhongsheng Hou;Hongwei Zhang

  • The model-free learning adaptive control of a class of SISO nonlinear systems

    Zhongsheng Hou;Wenhu Huang

  • Model Free Adaptive Iterative Learning Consensus Tracking Control for a Class of Nonlinear Multiagent Systems

    Xuhui Bu;Qiongxia Yu;Zhongsheng Hou;Wei Qian

  • Controller-Dynamic-Linearization-Based Model Free Adaptive Control for Discrete-Time Nonlinear Systems

    Zhongsheng Hou;Yuanming Zhu

  • Adaptive Iterative Learning Control for High-Speed Trains With Unknown Speed Delays and Input Saturations

    Honghai Ji;Zhongsheng Hou;Ruikun Zhang

  • An iterative learning approach for density control of freeway traffic flow via ramp metering

    Zhongsheng Hou;Jian-Xin Xu;Jingwen Yan

  • A High-Order Internal Model Based Iterative Learning Control Scheme for Nonlinear Systems With Time-Iteration-Varying Parameters

    Chenkun Yin;Jian-Xin Xu;Zhongsheng Hou

  • Terminal iterative learning control based station stop control of a train

    Zhongsheng Hou;Yi Wang;Chenkun Yin;Tao Tang

  • Freeway Traffic Control Using Iterative Learning Control-Based Ramp Metering and Speed Signaling

    Zhongsheng Hou;Jian-Xin Xu;Hongwei Zhong

  • Coordinated Iterative Learning Control Schemes for Train Trajectory Tracking With Overspeed Protection

    Heqing Sun;Zhongsheng Hou;Dayou Li

  • Enhanced P-Type Control: Indirect Adaptive Learning From Set-Point Updates

    Unknown

  • Lazy-Learning-Based Data-Driven Model-Free Adaptive Predictive Control for a Class of Discrete-Time Nonlinear Systems

    Zhongsheng Hou;Shida Liu;Taotao Tian

  • Data-driven optimal terminal iterative learning control

    Ronghu Chi;Danwei Wang;Zhongsheng Hou;Shangtai Jin

  • Online Learning Control Using Adaptive Critic Designs With Sparse Kernel Machines

    Xin Xu;Zhongsheng Hou;Chuanqiang Lian;Haibo He

Frequent Co-Authors

Jian-Xin Xu
Jian-Xin Xu National University of Singapore
Biao Huang
Biao Huang University of Alberta
Danwei Wang
Danwei Wang Nanyang Technological University
Frank L. Lewis
Frank L. Lewis The University of Texas at Arlington
Dongbin Zhao
Dongbin Zhao Chinese Academy of Sciences
Tianyou Chai
Tianyou Chai Northeastern University
Huijun Gao
Huijun Gao Harbin Institute of Technology
Haibo He
Haibo He University of Rhode Island
Warren E. Dixon
Warren E. Dixon University of Florida
Marios M. Polycarpou
Marios M. Polycarpou University of Cyprus

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