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Observer-Based Adaptive Fuzzy Tracking Control Using Integral Barrier Lyapunov Functionals for A Nonlinear System With Full State Constraints 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 3, 页码: 617-627
Authors:  Wei Zhao;  Yanjun Liu;  Lei Liu
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Adaptive control  backstepping design  integral barrier Lyapunov function (iBLF)  states observer  
Distributed Fault-Tolerant Containment Control for Nonlinear Multi-Agent Systems Under Directed Network Topology via Hierarchical Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 806-816
Authors:  Shuyi Xiao;  Jiuxiang Dong
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Adaptive fault-tolerant control  directed network topology  distributed control  hierarchical control  multi-agent systems (MASs)  
Output-Feedback Based Simplified Optimized Backstepping Control for Strict-Feedback Systems with Input and State Constraints 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 6, 页码: 1119-1132
Authors:  Jiaxin Zhang;  Kewen Li;  Yongming Li
Adobe PDF(1727Kb)  |  Favorite  |  View/Download:0/0  |  Submit date:2021/06/11
Backstepping design  immeasurable states  neural-networks (NNs)  optimal control  state constraints  
Adaptive Fuzzy Quantized Control for Nonlinear Systems With Hysteretic Actuator Using a New Filter-Connected Quantizer 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 3, 页码: 876-889
Authors:  Wu, Honghui;  Liu, Zhi;  Zhang, Yun;  Chen, C. L. Philip
Favorite  |  View/Download:48/0  |  Submit date:2020/03/30
Hysteresis  Actuators  Nonlinear systems  Fuzzy logic  Adaptive systems  Adaptation models  Actuator hysteresis  adaptive quantized control  backstepping technique  fuzzy logic systems (FLSs)  nonlinear systems  
Distributed adaptive cooperative tracking of uncertain nonlinear fractional-order multi-agent systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 1, 页码: 292-300
Authors:  Zhitao Li;  Lixin Gao;  Wenhai Chen;  Yu Xu
View  |  Adobe PDF(1268Kb)  |  Favorite  |  View/Download:0/0  |  Submit date:2021/03/11
Adaptive control  consensus  distributed control  fractional-order systems  multi-agent system  
Time-Varying Asymmetrical BLFs Based Adaptive Finite-Time Neural Control of Nonlinear Systems With Full State Constraints 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1335-1343
Authors:  Lei Liu;  Tingting Gao;  Yan-Jun Liu;  Shaocheng Tong
View  |  Adobe PDF(2164Kb)  |  Favorite  |  View/Download:6/4  |  Submit date:2021/03/11
Barrier Lyapunov functions  constrained control  finite time stability  neural control  
Adaptive Fuzzy Output Feedback Quantized Control for Uncertain Nonlinear Hysteretic Systems Using a New Feedback-Based Quantizer 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 卷号: 27, 期号: 9, 页码: 1738-1752
Authors:  Wu, Honghui;  Liu, Zhi;  Zhang, Yun;  Chen, C. L. Philip
Favorite  |  View/Download:45/0  |  Submit date:2019/12/16
Actuator hysteresis  fuzzy logic systems (FLSs)  input quantization  output feedback  nonlinear systems  
基于区间二型模糊系统的高超声速飞行器巡航控制研究 学位论文
工学博士, 北京: 中国科学院大学, 2019
Authors:  陶新龙
Adobe PDF(16348Kb)  |  Favorite  |  View/Download:105/0  |  Submit date:2019/06/06
高超声速飞行器  区间二型模糊系统  测量噪声  状态估计器  小增益理论  
State-Estimator-Integrated Robust Adaptive Tracking Control for Flexible Air-Breathing Hypersonic Vehicle With Noisy Measurements 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2019, 卷号: XX, 期号: Early Access, 页码: XX
Authors:  Tao Xinlong;  Yi Jianqiang;  Pu Zhiqiang;  Xiong Tianyi
View  |  Adobe PDF(1301Kb)  |  Favorite  |  View/Download:114/35  |  Submit date:2019/05/07
Hypersonic Vehicle  Measurement Noises  Robust Control  State Estimator  Type-2 Fuzzy Logic System  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 卷号: 26, 期号: 5, 页码: 2719-2731
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
Favorite  |  View/Download:65/0  |  Submit date:2019/12/16
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)