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Guoqiang Zhu
Guoqiang Zhu
Northeast Electric Power University
Dirección de correo verificada de neepu.edu.cn
Título
Citado por
Citado por
Año
Compound adaptive fuzzy quantized control for quadrotor and its experimental verification
X Zhang, Y Wang, G Zhu, X Chen, Z Li, C Wang, CY Su
IEEE transactions on cybernetics 51 (3), 1121-1133, 2020
942020
Output feedback adaptive dynamic surface sliding-mode control for quadrotor UAVs with tracking error constraints
G Zhu, S Wang, L Sun, W Ge, X Zhang
Complexity 2020, 1-23, 2020
682020
Output feedback adaptive motion control and its experimental verification for time-delay nonlinear systems with asymmetric hysteresis
X Zhang, X Chen, G Zhu, CY Su
IEEE Transactions on Industrial Electronics 67 (8), 6824-6834, 2019
672019
Adaptive fuzzy dynamic surface sliding mode control of large-scale power systems with prescribe output tracking performance
G Zhu, L Nie, Z Lv, L Sun, X Zhang, C Wang
ISA transactions 99, 305-321, 2020
382020
Decentralized adaptive quantized excitation control for multi-machine power systems by considering the line-transmission delays
X Zhang, B Li, G Zhu, X Chen, M Zhou
IEEE Access 6, 61918-61933, 2018
192018
Decentralized robust adaptive neural dynamic surface control for multi‐machine excitation systems with static var compensator
X Zhang, S Wang, G Zhu, J Ma, X Li, X Chen
International Journal of Adaptive Control and Signal Processing 33 (1), 92-113, 2019
182019
Discrete-time adaptive neural tracking control and its experiments for quadrotor unmanned aerial vehicle systems
X Zhang, Y Wang, G Zhu, X Chen, CY Su
IEEE/ASME Transactions on Mechatronics 28 (3), 1201-1212, 2021
172021
Neural network-based adaptive backstepping control for hypersonic flight vehicles with prescribed tracking performance
Z Guoqiang, L Jinkun
Mathematical Problems in Engineering 2015, 2015
162015
Adaptive consensus quantized control for a class of high-order nonlinear multi-agent systems with input hysteresis and full state constraints
G Zhu, H Li, X Zhang, C Wang, CY Su, J Hu
IEEE/CAA Journal of Automatica Sinica 9 (9), 1574-1589, 2022
142022
Adaptive robust dynamic surface integral sliding mode control for quadrotor UAVs under parametric uncertainties and external disturbances
Y Zhang, N Xu, G Zhu, L Sun, S Cao, X Zhang
Complexity 2020, 1-20, 2020
102020
一种智能型阻垢剂性能快速评定装置
曹生现, 杨善让, 祝国强, 陈立军, 刘豫峰
分析化学 35 (6), 924-928, 2007
82007
Adaptive fuzzy dynamic surface control for multi-machine power system based on composite learning method and disturbance observer
G Zhu, L Nie, M Zhou, X Zhang, L Sun, C Zhong
IEEE Access 8, 163163-163175, 2020
72020
Neural network based adaptive event-triggered control for quadrotor unmanned aircraft robotics
P Lu, M Liu, X Zhang, G Zhu, Z Li, CY Su
Machines 10 (8), 617, 2022
52022
Adaptive dynamic surface integral sliding mode fault-tolerant control for multimachine excitation systems with svc
G Zhu, S Ji, Z Li, Y Zhang
Complexity 2020, 1-21, 2020
52020
基于小波能量特征的气液两相流流型识别方法
王强, 周云龙, 祝国强, 周迎红
华电技术, 66-70, 2006
52006
Adaptive discrete-time estimated inverse control for piezoelectric positioning stage
X Zhang, S Su, G Zhu, Y Peng
IEEE Access 7, 155120-155129, 2019
42019
Neural networks approximator based robust adaptive controller design of hypersonic flight vehicles systems coupled with stochastic disturbance and dynamic uncertainties
G Zhu, L Sun, X Zhang
Mathematical Problems in Engineering 2017, 2017
42017
K-Filter Observer Based Adaptive Quantized Decentralized Excitation Control for Multi-Machine Power Systems with the Line Transmission Delays
S Wang, X Ou, D Li, H Wang, G Zhu
IEEE Access 9, 51355-51367, 2021
32021
Neural networks-based robust adaptive dynamic surface sliding mode control of flight path angle with tracking error constraints
S Wang, G Zhu, X Chen, X Zhang, J Xu, X Li, H Cao
2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), 587-592, 2019
32019
Adaptive dynamic surface output feedback control for a class of quadrotor aircraft with actuator faults
G Zhu, H Li, H Zhang, S Wang, X Zhang
Assembly Automation 42 (4), 521-534, 2022
22022
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