H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 73 Citations 15,997 464 World Ranking 233 National Ranking 21

Research.com Recognitions

Awards & Achievements

2020 - IEEE Fellow For contributions to intelligent fault diagnosis and fault-tolerant control

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Electrical engineering

His primary areas of study are Control theory, Control engineering, Fault, Actuator and Nonlinear system. His Control theory research integrates issues from Fault tolerance and Fault detection and isolation. Bin Jiang combines subjects such as Robotics and Artificial intelligence with his study of Control engineering.

His Fault study combines topics in areas such as Reference model, Linear system, Control reconfiguration and Identification. His Actuator study integrates concerns from other disciplines, such as Compensation, Disturbance and Attitude control. His work deals with themes such as Artificial neural network, Algorithm and Fuzzy logic, which intersect with Nonlinear system.

His most cited work include:

  • $H_\infty$ Filtering of Discrete-Time Switched Systems With State Delays via Switched Lyapunov Function Approach (158 citations)
  • Online adaptive policy learning algorithm for H∞ state feedback control of unknown affine nonlinear discrete-time systems. (137 citations)
  • Neural-networked adaptive tracking control for switched nonlinear pure-feedback systems under arbitrary switching (121 citations)

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

His primary scientific interests are in Control theory, Fault, Control engineering, Actuator and Nonlinear system. His studies in Control theory integrate themes in fields like Fault tolerance and Control. His work focuses on many connections between Fault tolerance and other disciplines, such as Backstepping, that overlap with his field of interest in Lyapunov function.

His biological study spans a wide range of topics, including Control system and Stability. His study in Actuator is interdisciplinary in nature, drawing from both Compensation, Lyapunov stability, Tracking, Tracking error and State. His Nonlinear system study combines topics from a wide range of disciplines, such as Artificial neural network, Robustness and Fuzzy control system, Fuzzy logic.

He most often published in these fields:

  • Control theory (79.91%)
  • Fault (31.25%)
  • Control engineering (31.70%)

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

  • Control theory (79.91%)
  • Fault tolerance (27.46%)
  • Fault (31.25%)

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

Bin Jiang focuses on Control theory, Fault tolerance, Fault, Actuator and Nonlinear system. His research on Control theory often connects related topics like Control. He has researched Fault tolerance in several fields, including Boundary, Control reconfiguration and Filter.

His research integrates issues of Observer, Control system, Differential game and Data mining in his study of Fault. His Actuator research is multidisciplinary, incorporating elements of Artificial neural network, Tracking, Linear model and Actuator fault. His Nonlinear system study incorporates themes from Upper and lower bounds, Bounded function, Topology and State.

Between 2018 and 2021, his most popular works were:

  • Incipient Fault Detection for Traction Motors of High-Speed Railways Using an Interval Sliding Mode Observer (28 citations)
  • Adaptive Sliding Mode Fault-Tolerant Fuzzy Tracking Control With Application to Unmanned Marine Vehicles (20 citations)
  • Adaptive relevant vector machine based RUL prediction under uncertain conditions (18 citations)

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

  • Control theory
  • Artificial intelligence
  • Electrical engineering

Bin Jiang spends much of his time researching Control theory, Fault tolerance, Actuator, Control theory and Fault. His study involves Lyapunov function, Observer, Sliding mode control, Nonlinear system and Adaptive control, a branch of Control theory. The Fault tolerance study combines topics in areas such as Artificial neural network, Control, Control reconfiguration and Stability.

He interconnects Aerodynamics, Integral sliding mode, Linear model, Tracking error and Fuzzy logic in the investigation of issues within Actuator. His Control theory research is multidisciplinary, relying on both Control system, Centroid and Vehicle dynamics. His study looks at the relationship between Fault and topics such as Data mining, which overlap with Blind signal separation.

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

Fault Accommodation for Nonlinear Dynamic Systems

Bin Jiang;M. Staroswiecki;V. Cocquempot.
IEEE Transactions on Automatic Control (2006)

750 Citations

Adaptive Fault-Tolerant Tracking Control of Near-Space Vehicle Using Takagi–Sugeno Fuzzy Models

Bin Jiang;Zhifeng Gao;Peng Shi;Yufei Xu.
IEEE Transactions on Fuzzy Systems (2010)

367 Citations

Fault estimation and accommodation for linear MIMO discrete-time systems

Bin Jiang;F.N. Chowdhury.
IEEE Transactions on Control Systems and Technology (2005)

350 Citations

Robust Backstepping Sliding-Mode Control and Observer-Based Fault Estimation for a Quadrotor UAV

Fuyang Chen;Rongqiang Jiang;Kangkang Zhang;Bin Jiang.
IEEE Transactions on Industrial Electronics (2016)

327 Citations

Adaptive Observer-based Fast Fault Estimation

Ke Zhang;Bin Jiang;Vincent Cocquempot.
International Journal of Control Automation and Systems (2008)

321 Citations

H/sub /spl infin// fault detection filter design for networked control systems modelled by discrete Markovian jump systems

Zehui Mao;Bin Jiang;Peng Shi.
Iet Control Theory and Applications (2007)

297 Citations

Dynamic Surface Control Using Neural Networks for a Class of Uncertain Nonlinear Systems With Input Saturation

Mou Chen;Gang Tao;Bin Jiang.
IEEE Transactions on Neural Networks (2015)

281 Citations

Cooperative Adaptive Fuzzy Tracking Control for Networked Unknown Nonlinear Multiagent Systems With Time-Varying Actuator Faults

Qikun Shen;Bin Jiang;Peng Shi;Jun Zhao.
IEEE Transactions on Fuzzy Systems (2014)

255 Citations

$H_\infty$ Filtering of Discrete-Time Switched Systems With State Delays via Switched Lyapunov Function Approach

Dongsheng Du;Bin Jiang;Peng Shi;Shaosheng Zhou.
IEEE Transactions on Automatic Control (2007)

245 Citations

Fast fault estimation and accommodation for dynamical systems

K Zhang;B Jiang;Peng Shi.
Iet Control Theory and Applications (2009)

224 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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Harbin Institute of Technology

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University of Lille

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Nanjing University of Science and Technology

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