H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 35 Citations 6,258 222 World Ranking 2482 National Ranking 283

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Machine learning

His primary areas of study are Control theory, Iterative learning control, Adaptive control, Nonlinear system and Linearization. His Control theory course of study focuses on Mathematical optimization and Active learning. His research integrates issues of Control engineering and Iterative method in his study of Iterative learning control.

His Adaptive control research includes themes of Nonlinear control, Stability, Discrete time and continuous time, Model free and Partial derivative. His Linearization research is multidisciplinary, incorporating elements of Data-driven and Feedback linearization. The study incorporates disciplines such as Management science, State and Model based control in addition to Data-driven.

His most cited work include:

  • From model-based control to data-driven control: Survey, classification and perspective (522 citations)
  • Data-Driven Model-Free Adaptive Control for a Class of MIMO Nonlinear Discrete-Time Systems (281 citations)
  • A Novel Data-Driven Control Approach for a Class of Discrete-Time Nonlinear Systems (262 citations)

What are the main themes of his work throughout his whole career to date?

Zhongsheng Hou mainly investigates Control theory, Nonlinear system, Iterative learning control, Adaptive control and Linearization. His Control theory research is multidisciplinary, relying on both Control engineering and Data-driven. His Nonlinear system study combines topics in areas such as Control system, Stability, Robustness and Affine transformation.

Zhongsheng Hou focuses mostly in the field of Iterative learning control, narrowing it down to topics relating to Tracking error and, in certain cases, Bounded function. Zhongsheng Hou combines subjects such as Algorithm design, Attitude control, Model free, PID controller and Linear motor with his study of Adaptive control. The study incorporates disciplines such as Model predictive control, Feedback linearization, Data model, Multi-agent system and Algorithm in addition to Linearization.

He most often published in these fields:

  • Control theory (84.32%)
  • Nonlinear system (52.26%)
  • Iterative learning control (49.48%)

What were the highlights of his more recent work (between 2018-2021)?

  • Control theory (84.32%)
  • Nonlinear system (52.26%)
  • Iterative learning control (49.48%)

In recent papers he was focusing on the following fields of study:

Zhongsheng Hou focuses on Control theory, Nonlinear system, Iterative learning control, Linearization and Adaptive control. His work in Control theory tackles topics such as Data-driven which are related to areas like Compensation. In his work, Linear system is strongly intertwined with Algorithm, which is a subfield of Nonlinear system.

The Iterative learning control study combines topics in areas such as Multi-agent system, Trajectory and Feed forward. Zhongsheng Hou works mostly in the field of Linearization, limiting it down to topics relating to State observer and, in certain cases, Partial derivative. His Adaptive control study incorporates themes from Model free, Computer simulation and Attitude control.

Between 2018 and 2021, his most popular works were:

  • On Model-Free Adaptive Control and Its Stability Analysis (57 citations)
  • Model Free Adaptive Iterative Learning Consensus Tracking Control for a Class of Nonlinear Multiagent Systems (52 citations)
  • An Improved Data-Driven Point-to-Point ILC Using Additional On-Line Control Inputs With Experimental Verification (26 citations)

In his most recent research, the most cited papers focused on:

  • Control theory
  • Artificial intelligence
  • Machine learning

Zhongsheng Hou mostly deals with Control theory, Nonlinear system, Iterative learning control, Linearization and Data-driven. His work on Control theory deals in particular with Adaptive control, Control theory, Trajectory, PID controller and Stability. His Nonlinear system study integrates concerns from other disciplines, such as Control system and Vehicle dynamics.

His biological study spans a wide range of topics, including Algorithm, Multi-agent system and Tracking error. His studies deal with areas such as Discrete time and continuous time, State observer, Model predictive control and Partial derivative as well as Linearization. His Data-driven research includes themes of Function and Mathematical optimization.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

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

Zhong-Sheng Hou;Zhuo Wang.
Information Sciences (2013)

678 Citations

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

Zhongsheng Hou;Shangtai Jin.
IEEE Transactions on Neural Networks (2011)

392 Citations

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

Zhongsheng Hou;Shangtai Jin.
IEEE Transactions on Control Systems and Technology (2011)

351 Citations

Model Free Adaptive Control: Theory and Applications

Zhongsheng Hou;Shangtai Jin.
(2013)

330 Citations

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

Hairong Dong;Bin Ning;Baigen Cai;Zhongsheng Hou.
IEEE Circuits and Systems Magazine (2010)

315 Citations

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.
Automatica (2008)

293 Citations

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

Zhongsheng Hou;Wenhu Huang.
american control conference (1997)

212 Citations

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

Zhongsheng Hou;Jian-Xin Xu;Jingwen Yan.
Transportation Research Part C-emerging Technologies (2008)

177 Citations

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

Zhongsheng Hou;Ronghu Chi;Huijun Gao.
IEEE Transactions on Industrial Electronics (2017)

163 Citations

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

Zhongsheng Hou;Jian-Xin Xu;Hongwei Zhong.
IEEE Transactions on Vehicular Technology (2007)

140 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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