H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 78 Citations 19,750 249 World Ranking 163 National Ranking 15

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Mathematical analysis

His scientific interests lie mostly in Control theory, Fuzzy control system, Nonlinear system, Fuzzy logic and Exponential stability. His Control theory research integrates issues from Filter and Filter design. His Fuzzy control system research is multidisciplinary, relying on both State, Discrete time and continuous time, Mathematical optimization and Approximation theory.

His work deals with themes such as Upper and lower bounds and Propulsion, which intersect with Nonlinear system. Ligang Wu has researched Exponential stability in several fields, including Artificial neural network and Linearization. His research in Control theory intersects with topics in Observer, Control system, Lyapunov function and Vehicle dynamics.

His most cited work include:

  • State Estimation and Sliding-Mode Control of Markovian Jump Singular Systems (518 citations)
  • Technical communique: Sliding mode control with bounded L 2 gain performance of Markovian jump singular time-delay systems (420 citations)
  • A New Approach to Stability Analysis and Stabilization of Discrete-Time T-S Fuzzy Time-Varying Delay Systems (368 citations)

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

His primary scientific interests are in Control theory, Control theory, Fuzzy logic, Exponential stability and Fuzzy control system. His Control theory research focuses on Nonlinear system, Sliding mode control, Linear matrix inequality, Lyapunov function and Discrete time and continuous time. His studies in Control theory integrate themes in fields like Control system, Actuator and Observer.

His studies deal with areas such as Stability, Linearization and Stability theory as well as Fuzzy logic. The concepts of his Exponential stability study are interwoven with issues in Mathematical optimization and Hybrid system. His Fuzzy control system research incorporates elements of Fuzzy number, Type, Lyapunov stability and Interval.

He most often published in these fields:

  • Control theory (79.56%)
  • Control theory (27.25%)
  • Fuzzy logic (22.34%)

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

  • Control theory (79.56%)
  • Control theory (27.25%)
  • Sliding mode control (17.17%)

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

Ligang Wu mainly investigates Control theory, Control theory, Sliding mode control, Lyapunov function and Fuzzy logic. His Control theory study frequently draws connections to other fields, such as Three-phase. His Control theory research includes elements of Control system, Converters, Rectifier, Actuator and Microgrid.

His Sliding mode control study combines topics from a wide range of disciplines, such as Control, Voltage regulation, State and Capacitor. He works mostly in the field of Lyapunov function, limiting it down to topics relating to Stability and, in certain cases, Stability conditions, Control-Lyapunov function, Algebraic number and Connection, as a part of the same area of interest. His biological study spans a wide range of topics, including Bernoulli process, Lyapunov stability, Nonlinear system and Packet loss.

Between 2018 and 2021, his most popular works were:

  • Disturbance-Observer-Based Control for Air Management of PEM Fuel Cell Systems via Sliding Mode Technique (122 citations)
  • Event-triggering dissipative control of switched stochastic systems via sliding mode (69 citations)
  • Observer-Based Adaptive Sliding Mode Control of NPC Converters: An RBF Neural Network Approach (58 citations)

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

  • Control theory
  • Artificial intelligence
  • Mathematical analysis

Control theory, Control theory, Sliding mode control, Lyapunov function and Actuator are his primary areas of study. His study brings together the fields of State and Control theory. His Control theory study incorporates themes from Tracking, Observability and System model.

The study incorporates disciplines such as Stability criterion, Exponential stability and Adaptive system in addition to Sliding mode control. The various areas that he examines in his Exponential stability study include State variable and Hybrid system. His work investigates the relationship between Fuzzy logic and topics such as Packet loss that intersect with problems in Fuzzy control system.

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

Technical communique: Sliding mode control with bounded L 2 gain performance of Markovian jump singular time-delay systems

Ligang Wu;Xiaojie Su;Peng Shi.
Automatica (2012)

614 Citations

State Estimation and Sliding-Mode Control of Markovian Jump Singular Systems

Ligang Wu;Peng Shi;Huijun Gao.
IEEE Transactions on Automatic Control (2010)

596 Citations

A New Approach to Stability Analysis and Stabilization of Discrete-Time T-S Fuzzy Time-Varying Delay Systems

Ligang Wu;Xiaojie Su;Peng Shi;Jianbin Qiu.
systems man and cybernetics (2011)

544 Citations

Brief paper: H∞ filtering for 2D Markovian jump systems

Ligang Wu;Peng Shi;Huijun Gao;Changhong Wang.
Automatica (2008)

459 Citations

A Novel Approach to Filter Design for T–S Fuzzy Discrete-Time Systems With Time-Varying Delay

Xiaojie Su;Peng Shi;Ligang Wu;Yong-Duan Song.
IEEE Transactions on Fuzzy Systems (2012)

391 Citations

Observer-based adaptive sliding mode control for nonlinear Markovian jump systems

Hongyi Li;Peng Shi;Deyin Yao;Ligang Wu.
Automatica (2016)

384 Citations

Brief paper: Passivity-based sliding mode control of uncertain singular time-delay systems

Ligang Wu;Wei Xing Zheng.
Automatica (2009)

381 Citations

Technical communique: Sliding mode control of singular stochastic hybrid systems

Ligang Wu;Daniel W. C. Ho.
Automatica (2010)

379 Citations

Fault Detection Filtering for Nonlinear Switched Stochastic Systems

Xiaojie Su;Peng Shi;Ligang Wu;Yong-Duan Song.
IEEE Transactions on Automatic Control (2016)

369 Citations

Brief paper: Weighted H ∞ model reduction for linear switched systems with time-varying delay

Ligang Wu;Wei Xing Zheng.
Automatica (2009)

360 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.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Ligang Wu

Peng Shi

Peng Shi

University of Adelaide

Publications: 347

Hamid Reza Karimi

Hamid Reza Karimi

Politecnico di Milano

Publications: 197

Ju H. Park

Ju H. Park

Yeungnam University

Publications: 157

Zidong Wang

Zidong Wang

Brunel University London

Publications: 139

Rathinasamy Sakthivel

Rathinasamy Sakthivel

Bharathiar University

Publications: 118

Zheng-Guang Wu

Zheng-Guang Wu

Zhejiang University

Publications: 103

Guang-Hong Yang

Guang-Hong Yang

Northeastern University

Publications: 102

Jinde Cao

Jinde Cao

Southeast University

Publications: 99

Huijun Gao

Huijun Gao

Harbin Institute of Technology

Publications: 95

Qingling Zhang

Qingling Zhang

Yale University

Publications: 91

Hongyi Li

Hongyi Li

Bohai University

Publications: 83

Bin Jiang

Bin Jiang

Nanjing University of Aeronautics and Astronautics

Publications: 71

James Lam

James Lam

University of Hong Kong

Publications: 71

Fei Liu

Fei Liu

Xi'an Jiaotong University

Publications: 70

Shaocheng Tong

Shaocheng Tong

Liaoning University of Technology

Publications: 69

Something went wrong. Please try again later.