D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 30 Citations 6,611 168 World Ranking 6803 National Ranking 306

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Electrical engineering
  • Statistics

Liuping Wang focuses on Control theory, Control engineering, Model predictive control, Control system and Representation. Many of his studies involve connections with topics such as Sampling and Control theory. His Control engineering research includes elements of Process control, Software system and Frequency domain.

His research in Process control focuses on subjects like Systems design, which are connected to Parametric statistics and MATLAB. His research integrates issues of Ripple, Direct torque control, Current sensor and Machine control in his study of Model predictive control. Liuping Wang focuses mostly in the field of Representation, narrowing it down to topics relating to Quadratic programming and, in certain cases, State-space representation, Observer and State space.

His most cited work include:

  • Model Predictive Control System Design and Implementation Using MATLAB (880 citations)
  • Identification of Continuous-time Models from Sampled Data (334 citations)
  • A new approach to the identification of pH processes based on the Wiener model (169 citations)

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

Liuping Wang spends much of his time researching Control theory, Model predictive control, Control engineering, Control theory and Control system. In general Control theory, his work in Nonlinear system, Frequency response, PID controller and Step response is often linked to Laguerre polynomials linking many areas of study. His Model predictive control study incorporates themes from Stability, Quadratic programming, State-space representation, Repetitive control and Process control.

He usually deals with Control engineering and limits it to topics linked to Software system and Quality of service. Disturbance is closely connected to Observer in his research, which is encompassed under the umbrella topic of Control theory. Liuping Wang has researched Control system in several fields, including Induction motor and Robustness.

He most often published in these fields:

  • Control theory (69.27%)
  • Model predictive control (37.61%)
  • Control engineering (31.65%)

What were the highlights of his more recent work (between 2016-2021)?

  • Control theory (69.27%)
  • Control theory (23.85%)
  • Model predictive control (37.61%)

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

His main research concerns Control theory, Control theory, Model predictive control, Control system and Nonlinear system. His work in Control theory addresses subjects such as Voltage, which are connected to disciplines such as Optimization problem. His Model predictive control research is multidisciplinary, incorporating perspectives in MATLAB, Automatic Generation Control and Operations research.

His Control system research is multidisciplinary, incorporating elements of Inverter and Engineering management. His PID controller study is related to the wider topic of Control engineering. His research in Control engineering intersects with topics in Software system, Automatic tuning and System identification.

Between 2016 and 2021, his most popular works were:

  • A dimensionless parameter analysis of a cylindrical tube electromagnetic vibration energy harvester and its oscillator nonlinearity effect (38 citations)
  • Gain Scheduled Attitude Control of Fixed-Wing UAV With Automatic Controller Tuning (28 citations)
  • Time-varying linear control for tiltrotor aircraft (15 citations)

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

  • Control theory
  • Electrical engineering
  • Statistics

His scientific interests lie mostly in Control theory, Control theory, Control engineering, Monte Carlo method and Nonlinear system. His research related to PID controller, Attitude control and Frequency response might be considered part of Control theory. His studies in Control theory integrate themes in fields like Control system, Induction motor, Optimal control and Electronic speed control.

His Control system research integrates issues from Performance improvement and Operating point. His Control engineering research includes themes of Automatic tuning and Matlab simulink. His research investigates the connection between Transfer function and topics such as Automatic control that intersect with issues in Model predictive control.

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.

Best Publications

Model Predictive Control System Design and Implementation Using MATLAB

Liuping Wang.
(2009)

1495 Citations

Identification of Continuous-time Models from Sampled Data

Hugues Garnier;Liuping Wang.
(2008)

517 Citations

Direct Identification of Continuous-time Models from Sampled Data: Issues, Basic Solutions and Relevance

Hugues Garnier;Liuping Wang;Peter C. Young;Peter C. Young.
(2008)

517 Citations

A new approach to the identification of pH processes based on the Wiener model

A. Kalafatis;N. Arifin;L. Wang;W.R. Cluett.
Chemical Engineering Science (1995)

244 Citations

Discrete model predictive controller design using Laguerre functions

Liuping Wang.
Journal of Process Control (2004)

241 Citations

A systematic survey on the design of self-adaptive software systems using control engineering approaches

Tharindu Patikirikorala;Alan Colman;Jun Han;Liuping Wang.
software engineering for adaptive and self managing systems (2012)

184 Citations

Tuning PID controllers for integrating processes

L. Wang;W.R. Cluett.
IEE Proceedings - Control Theory and Applications (1997)

183 Citations

Identification of Wiener-type nonlinear systems in a noisy environment

A. D. Kalafatis;L. Wang;W. R. Cluett.
International Journal of Control (1997)

180 Citations

PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink

Liuping Wang;Lu Gan;Dae Yoo;Shan Chai.
(2014)

164 Citations

A Cascade MPC Control Structure for a PMSM With Speed Ripple Minimization

Shan Chai;Liuping Wang;E. Rogers.
IEEE Transactions on Industrial Electronics (2013)

163 Citations

Best Scientists Citing Liuping Wang

Peter C. Young

Peter C. Young

Lancaster University

Publications: 33

Peter J. Gawthrop

Peter J. Gawthrop

University of Melbourne

Publications: 28

Furong Gao

Furong Gao

Hong Kong University of Science and Technology

Publications: 24

Ridong Zhang

Ridong Zhang

Hangzhou Dianzi University

Publications: 22

Hai-Tao Zhang

Hai-Tao Zhang

Huazhong University of Science and Technology

Publications: 21

Lennart Ljung

Lennart Ljung

Linköping University

Publications: 14

Zhong-Ping Jiang

Zhong-Ping Jiang

New York University

Publications: 14

Ilya Kolmanovsky

Ilya Kolmanovsky

University of Michigan–Ann Arbor

Publications: 12

Hemanshu R. Pota

Hemanshu R. Pota

UNSW Sydney

Publications: 11

Sirish L. Shah

Sirish L. Shah

University of Alberta

Publications: 11

Biao Huang

Biao Huang

University of Alberta

Publications: 10

Ian R. Petersen

Ian R. Petersen

Australian National University

Publications: 9

Danny Weyns

Danny Weyns

KU Leuven

Publications: 9

Sheng Chen

Sheng Chen

University of Southampton

Publications: 9

Wei Xing Zheng

Wei Xing Zheng

Western Sydney University

Publications: 8

Stephen A. Billings

Stephen A. Billings

University of Sheffield

Publications: 8

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

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