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Bin Jiang
Researcher at Nanjing University of Aeronautics and Astronautics
Publications - 871
Citations - 19045
Bin Jiang is an academic researcher from Nanjing University of Aeronautics and Astronautics. The author has contributed to research in topics: Fault (power engineering) & Fault detection and isolation. The author has an hindex of 65, co-authored 693 publications receiving 14617 citations. Previous affiliations of Bin Jiang include Nanyang Technological University & Centre national de la recherche scientifique.
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Fault Accommodation for Nonlinear Dynamic Systems
TL;DR: This note investigates process fault accommodation in a class of nonlinear continuous-time systems using a new fault estimation module, based on an adaptive estimator, to compensate for the effect of the faults by stabilizing the closed-loop system.
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Robust Backstepping Sliding-Mode Control and Observer-Based Fault Estimation for a Quadrotor UAV
TL;DR: This study gives the mathematic model of a quadrotor unmanned aerial vehicle (UAV) and then proposes a robust nonlinear controller which combines the sliding-mode control technique and the backstepping control technique, which is designed to achieve Cartesian position trajectory tracking capability.
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Dynamic Surface Control Using Neural Networks for a Class of Uncertain Nonlinear Systems With Input Saturation
TL;DR: The problem of explosion of complexity inherent in the conventional backstepping method is avoided and the ultimately bounded convergence of all closed-loop signals is guaranteed via Lyapunov analysis.
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Adaptive Fault-Tolerant Tracking Control of Near-Space Vehicle Using Takagi–Sugeno Fuzzy Models
TL;DR: An adaptive fault-tolerant tracking-control scheme is proposed based on the online estimation of actuator faults, in which a compensation control term is introduced in order to reduce the effect of actuators faults.
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Cooperative Adaptive Fuzzy Tracking Control for Networked Unknown Nonlinear Multiagent Systems With Time-Varying Actuator Faults
TL;DR: A novel CAFTFTC scheme is proposed to guarantee that all follower nodes asymptotically synchronize a leader node with tracking errors converging to a small adjustable neighborhood of the origin in spite of actuator faults.