H
Hongyi Li
Researcher at Guangdong University of Technology
Publications - 73
Citations - 6508
Hongyi Li is an academic researcher from Guangdong University of Technology. The author has contributed to research in topics: Control theory & Nonlinear system. The author has an hindex of 32, co-authored 73 publications receiving 3493 citations. Previous affiliations of Hongyi Li include Bohai University.
Papers
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Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone
TL;DR: The finite-time control problem of the nonlinear system with dead-zone is solved and the adaptive backstepping method is proposed, and the effectiveness of the proposed scheme is verified via some simulation results.
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Adaptive Fuzzy Control of Nonlinear Systems With Unmodeled Dynamics and Input Saturation Using Small-Gain Approach
TL;DR: In order to overcome the difficulty of controller design for nonstrict-feedback system in backstepping design process, a variables separation method is introduced and an adaptive fuzzy controller is designed to guarantee all the signals of the resulting closed-loop system to be bounded.
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Adaptive Neural Network Tracking Control for Robotic Manipulators With Dead Zone
TL;DR: The adaptive backstepping control method and Lyapunov stability theory are used to prove the proposed controller can ensure all the signals in the systems are semiglobally uniformly ultimately bounded, and the output of the systems can track the reference signal closely.
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Adaptive Fault-Tolerant Tracking Control for Discrete-Time Multiagent Systems via Reinforcement Learning Algorithm
Hongyi Li,Ying Wu,Mou Chen +2 more
TL;DR: This article investigates the adaptive fault-tolerant tracking control problem for a class of discrete-time multiagent systems via a reinforcement learning algorithm and proves that all signals of the closed-loop system are semiglobally uniformly ultimately bounded.
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Finite-Time Distributed State Estimation Over Sensor Networks With Round-Robin Protocol and Fading Channels
TL;DR: The Round-Robin protocol is introduced to overcome the channel capacity constraint among sensor nodes, and the multiplicative noise is employed to model the channel fading.