L
Linghuan Kong
Researcher at University of Science and Technology Beijing
Publications - 40
Citations - 716
Linghuan Kong is an academic researcher from University of Science and Technology Beijing. The author has contributed to research in topics: Artificial neural network & Lyapunov function. The author has an hindex of 7, co-authored 28 publications receiving 261 citations. Previous affiliations of Linghuan Kong include University of Electronic Science and Technology of China.
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Adaptive Fuzzy Control for Coordinated Multiple Robots With Constraint Using Impedance Learning
TL;DR: This paper investigates fuzzy neural network (FNN) control using impedance learning for coordinated multiple constrained robots carrying a common object in the presence of the unknown robotic dynamics and the unknown environment with which the robot comes into contact.
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Asymmetric Bounded Neural Control for an Uncertain Robot by State Feedback and Output Feedback
TL;DR: An adaptive neural bounded control scheme is proposed for an rigid robotic manipulator with unknown dynamics with the combination of the neural approximation and backstepping technique to guarantee the tracking performance of the robot.
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Fuzzy Approximation-Based Finite-Time Control for a Robot With Actuator Saturation Under Time-Varying Constraints of Work Space
TL;DR: A finite-time control method is presented for robots with actuator saturation under time-varying constraints of work space and, with the use of the Lyapunov stability theory, all the error signals are proved to be semiglobal finite- time stable (SGFS).
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Fuzzy Tracking Control for a Class of Uncertain MIMO Nonlinear Systems With State Constraints
TL;DR: An adaptive fuzzy neural network (FNN) control scheme is developed for a class of multiple-input and multiple-output (MIMO) nonlinear systems subject to unknown dynamics and state constraints and integral Lyapunov functions are introduced to address state constraints.
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Neural Networks-Based Fault Tolerant Control of a Robot via Fast Terminal Sliding Mode
TL;DR: A robust fault tolerant (FT) control scheme for an $n$ -link uncertain robotic system with actuator failures is developed and a nonsingular fast terminal sliding mode is given in order to accelerate the recovery of system stability after failure.