2020 - IEEE Fellow For contributions to intelligent fault diagnosis and fault-tolerant control
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 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.
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.
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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Fault Accommodation for Nonlinear Dynamic Systems
Bin Jiang;M. Staroswiecki;V. Cocquempot.
IEEE Transactions on Automatic Control (2006)
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)
Fault estimation and accommodation for linear MIMO discrete-time systems
Bin Jiang;F.N. Chowdhury.
IEEE Transactions on Control Systems and Technology (2005)
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)
Adaptive Observer-based Fast Fault Estimation
Ke Zhang;Bin Jiang;Vincent Cocquempot.
International Journal of Control Automation and Systems (2008)
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)
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)
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)
$H_\infty$ 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)
Fast fault estimation and accommodation for dynamical systems
K Zhang;B Jiang;Peng Shi.
Iet Control Theory and Applications (2009)
Profile was last updated on December 6th, 2021.
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