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Multisensor Data-Fusion-Based Approach to Airspeed Measurement Fault Detection for Unmanned Aerial Vehicles 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2018, 卷号: 67, 期号: 2, 页码: 317-327
作者:  Guo, Dingfei;  Zhong, Maiying
Adobe PDF(1853Kb)  |  收藏  |  浏览/下载：177/55  |  提交时间：2022/04/06
Airspeed estimation  fault detection  kinematics model  pitot tube  unmanned aerial vehicle  
A hybrid feature model and deep learning based fault diagnosis for unmanned aerial vehicle sensors 期刊论文
Neurocomputing, 2018, 卷号: 319, 期号: 2018, 页码: 155-163
作者:  Guo, Dingfei;  Zhong, Maiying
Adobe PDF(2685Kb)  |  收藏  |  浏览/下载：161/55  |  提交时间：2022/04/06
Model based fault diagnosis  Deep learning  Short-time fourier transform  Convolutional neural network  UAV sensors  
Brain-Inspired Motion Learning in Recurrent Neural Network With Emotion Modulation 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2018, 卷号: 10, 期号: 4, 页码: 1153 - 1164
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong;  Ji, Yidao
浏览  |  Adobe PDF(2073Kb)  |  收藏  |  浏览/下载：222/69  |  提交时间：2020/06/09
Brain-inspired model  emotion  motion learning  recurrent neural network  
A novel triggering condition of event-triggered control based on heuristic dynamic programming for discrete-time systems 期刊论文
Optimal Control Applications & Methods, 2018, 卷号: 39, 期号: 4, 页码: 1467-1478
作者:  Wang, Ziyang;  Wei, Qinglai;  Liu, Derong
浏览  |  Adobe PDF(569Kb)  |  收藏  |  浏览/下载：223/56  |  提交时间：2020/03/20
Adaptive Dynamic Design  Adaptive Dynamic Programming  Approximate Dynamic Programming  Event-triggered Control  Optimal Control  
Adaptive-Critic-Based Robust Trajectory Tracking of Uncertain Dynamics and Its Application to a Spring-Mass-Damper System 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 卷号: 65, 期号: 1, 页码: 654-663
作者:  Wang, Ding;  Mu, Chaoxu
收藏  |  浏览/下载：167/0  |  提交时间：2019/12/16
Adaptive critic design  neural networks  optimal control  robust trajectory tracking  self-learning control  system uncertainty  
Distributed event-triggered synchronization for robotic teleoperation systems with randomly occurring gain fluctuations 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2018, 卷号: 15, 期号: 2, 页码: 1729881418770881
作者:  Ma, Chao;  Kang, Erlong
Adobe PDF(636Kb)  |  收藏  |  浏览/下载：292/55  |  提交时间：2019/12/16
Asynchronous event-triggered scheme  event-triggered synchronization  robotic teleoperation systems  randomly occurring gain fluctuations  Lyapunov-Krasovskii method  
Data-Driven Finite-Horizon Approximate Optimal Control for Discrete-Time Nonlinear Systems Using Iterative HDP Approach 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 10, 页码: 2948-2961
作者:  Mu, Chaoxu;  Wang, Ding;  He, Haibo
收藏  |  浏览/下载：245/0  |  提交时间：2019/12/16
Adaptive Dynamic Programming (Adp)  Data-driven Control  Finite-horizon Optimal Control  Heuristic Dynamic Programming (Hdp)  Learning Control  Neural Networks  
MFR-CNN: Incorporating Multi-Scale Features and Global Information for Traffic Object Detection 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 卷号: 67, 期号: 9, 页码: 8019-8030
作者:  Zhang, Hui;  Wang, Kunfeng;  Tian, Yonglin;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(4636Kb)  |  收藏  |  浏览/下载：316/63  |  提交时间：2019/12/16
Traffic Object Detection  Convolutional Neural Network  Multi-scale Features  Global Information  
Adaptive Neural Output-Feedback Control for a Class of Nonlower Triangular Nonlinear Systems With Unmodeled Dynamics 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 8, 页码: 3658-3668
作者:  Wang, Huanqing;  Liu, Peter Xiaoping;  Li, Shuai;  Wang, Ding
收藏  |  浏览/下载：192/0  |  提交时间：2019/12/16
Adaptive neural control  backstepping  nonlower triangular nonlinear systems  output-feedback control  
Learning and Guaranteed Cost Control With Event-Based Adaptive Critic Implementation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 12, 页码: 6004-6014
作者:  Wang, Ding;  Liu, Derong
收藏  |  浏览/下载：269/0  |  提交时间：2019/07/12
Adaptive dynamic programming  event-based design  guaranteed cost control  optimal control  self-learning technique