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.
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