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山东大学 [12]
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Adaptive Uniform Performance Control of Strict-Feedback Nonlinear Systems With Time-Varying Control Gain
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 451-461
作者:
Kai Zhao
;
Changyun Wen
;
Yongduan Song
;
Frank L. Lewis
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浏览/下载:17/0
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提交时间:2023/01/16
Adaptive control
enhanced Nussbaum function (ENF)
strict-feedback systems
unified prescribed performance
Adaptive Neural Control of Nonlinear Nonstrict Feedback Systems With Full-State Constraints: A Novel Nonlinear Mapping Method
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 9
作者:
Zhang, Jiaming
;
Niu, Ben
;
Wang, Ding
;
Wang, Huanqing
;
Duan, Peiyong
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  |  
浏览/下载:37/0
  |  
提交时间:2022/01/27
Nonlinear systems
Artificial neural networks
Design methodology
Adaptive control
Time-varying systems
Fuzzy logic
Backstepping
Asymptotic tracking control
neural networks (NN)
nonlinear mapping (NM)
nonstrict feedback structure
time-varying full-state constraints
uncertain nonlinear system
Distributed Asymptotic Consensus in Directed Networks of Nonaffine Systems With Nonvanishing Disturbance
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 6, 页码: 1133-1140
作者:
Qingling Wang
;
Changyin Sun
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浏览/下载:46/0
  |  
提交时间:2021/06/11
Asymptotic consensus
nonaffine systems
nonvani- shing disturbance
Nussbaum-type functions
unknown control directions
Output Constrained Adaptive Controller Design for Nonlinear Saturation Systems
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 441-454
作者:
Yongliang Yang
;
Zhijie Liu
;
Qing Li
;
Donald C. Wunsch
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  |  
浏览/下载:28/0
  |  
提交时间:2021/04/09
Asymmetric barrier Lyapunov function
input saturation
Nussbaum function
time-varying prescribed performance
Adaptive Attitude Control for Multi-MUAV Systems With Output Dead-Zone and Actuator Fault
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1567-1575
作者:
Guowei Dong
;
Liang Cao
;
Deyin Yao
;
Hongyi Li
;
Renquan Lu
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浏览/下载:56/0
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提交时间:2021/09/03
Disturbance observer
fault-tolerant control (FTC)
multi multi-rotor unmanned aerial vehicle (multi-MUAV) attitude systems
neural networks (NNs)
output dead-zone
Adaptive Control for Stochastic Nonlinear Systems with Dead Zone Output
会议论文
Shanghai, China, July 26-28, 2021
作者:
Liu, Yanli
;
Kang HB(康浩博)
;
Ma HJ(马宏军)
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浏览/下载:4/0
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提交时间:2021/10/30
Dead Zone Output
Tracking Constraint
Stochastic Systems
Fuzzy Logic Systems (FLSs)
Nussbaum-type Function
Completely distributed neuro-learning consensus with position constraints and partially unknown control directions
期刊论文
Neurocomputing, 2020, 卷号: 418, 页码: 251-262
作者:
Yang, Nana
;
Li, Junmin
;
He, Chao
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浏览/下载:5/0
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提交时间:2020/11/14
Iterative methods
Composite energy function
Control directions
Distributed learning
Finite time intervals
Nonlinear multi-agent systems
Nussbaum functions
Simulation example
Unknown control direction
Sliding mode control based on RBF neural network for a class of underactuated systems with unknown sensor and actuator faults
期刊论文
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2020, 页码: 11
作者:
Ji, Ning
;
Liu, Jinkun
;
Yang, Hongjun
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浏览/下载:49/0
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提交时间:2021/01/07
Underactuated system
sliding mode control
actuator fault tolerance
sensor fault tolerance
coupled motor driving system
Neural Adaptive Event-Triggered Control for Nonlinear Uncertain Stochastic Systems With Unknown Hysteresis
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 11, 页码: 3300-3312
作者:
Wang, Jianhui
;
Liu, Zhi
;
Zhang, Yun
;
Chen, C. L. Philip
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浏览/下载:12/0
  |  
提交时间:2020/03/30
Actuators
Hysteresis
Nonlinear systems
Artificial neural networks
Adaptive systems
Stochastic systems
System performance
Actuator failure
adaptive control
event-triggered
neural networks (NNs)
stochastic nonlinear systems
unknown direction hysteresis
Adaptive fuzzy asymptotically tracking control of full state constrained nonlinear system based on a novel Nussbaum-type function
期刊论文
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2019, 卷号: 356, 期号: 4, 页码: 1810-1827
作者:
Sun, Wei
;
Xia, Jianwei
;
Zhuang, Guangming
;
Huang, Xia
;
Shen, Hao
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浏览/下载:3/0
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提交时间:2019/12/11
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