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Nonlinear Filtering With Sample-Based Approximation Under Constrained Communication: Progress, Insights and Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1539-1556
作者:  Weihao Song;  Zidong Wang;  Zhongkui Li;  Jianan Wang;  Qing-Long Han
收藏  |  浏览/下载：1/0  |  提交时间：2024/06/07
Hierarchical Distribution-Based Tightly-Coupled LiDAR Inertial Odometry 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 1423-1435
作者:  Wang, Chengpeng;  Cao, Zhiqiang;  Li, Jianjie;  Yu, Junzhi;  Wang, Shuo
收藏  |  浏览/下载：1/0  |  提交时间：2024/05/28
An Improved Long-Period Precise Time-Relative Positioning Method Based on RTS Data 期刊论文
SENSORS, 2021, 卷号: 21, 期号: 1, 页码: 21
作者:  Lu, Yangwei;  Ji, Shengyue;  Tu, Rui;  Weng, Duojie;  Lu, Xiaochun
收藏  |  浏览/下载：19/0  |  提交时间：2021/11/29
RL-AKF: An Adaptive Kalman Filter Navigation Algorithm Based on Reinforcement Learning for Ground Vehicles 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 11, 页码: 25
作者:  Gao, Xile;  Luo, Haiyong;  Ning, Bokun;  Zhao, Fang;  Bao, Linfeng
收藏  |  浏览/下载：17/0  |  提交时间：2020/12/10
Modeling the Carbon Cycle of a Subtropical Chinese Fir Plantation Using a Multi-Source Data Fusion Approach 期刊论文
FORESTS, 2020, 卷号: 11, 期号: 4, 页码: 16
作者:  Hu, Longwei;  He, Honglin;  Shen, Yan;  Ren, Xiaoli;  Yan, Shao-kui
收藏  |  浏览/下载：35/0  |  提交时间：2021/03/23
Distributed Kalman Filters With State Equality Constraints: Time-Based and Event-Triggered Communications 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 卷号: 65, 期号: 1, 页码: 28-43
作者:  He, Xingkang;  Hu, Chen;  Hong, Yiguang;  Shi, Ling;  Fang, Hai-Tao
收藏  |  浏览/下载：62/0  |  提交时间：2020/05/24
A state-constrained tracking approach for Kalman filter-based ultra-tightly coupled GPS/INS integration 期刊论文
GPS SOLUTIONS, 2019, 卷号: 23
作者:  Qin, Honglei;  Yue, Song;  Cong, Li;  Jin, Tian
收藏  |  浏览/下载：5/0  |  提交时间：2019/12/30
3D AOA target tracking using distributed sensors with multi-hop information sharing. 期刊论文
SIGNAL PROCESSING, 2018
作者:  Xu, Sheng;  Dogancay, Kutluyil;  Hmam, Hatem
收藏  |  浏览/下载：17/0  |  提交时间：2019/01/31
Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks 期刊论文
Energy Conversion and Management, 2018, 卷号: 155, 页码: 188-200
作者:  Liu, Hui;  Mi, Xiwei;  Li, Yanfei*
收藏  |  浏览/下载：41/0  |  提交时间：2019/12/03
Wind speed forecasting  Wavelet packet decomposition  Complete Ensemble Empirical Mode Decomposition with Adaptive Noise  Artificial Neural Network  ANN  Artificial Neural Network  AR  Auto Regressive  ARIMA  Auto Regressive Integrated Moving Average  BA  Bat Algorithm  BP  Back-propagation Neural Network  CEEMDAN  Complete Ensemble Empirical Mode Decomposition  CG  Conjugate Gradient  CLSFPA  Flower Pollination Algorithm with Chaotic Local Search  CNN  Convolutional Neural Network  CS  Compressive Sensing  CSA  Cuckoo Search Algorithm  EEMD  Ensemble Empirical Mode Decomposition  ESM  Exponential Smoothing Method  FA  Firefly Algorithm  FAC  First-order Adaptive Coefficient  GA  Genetic Algorithm  GRNN  General Regression Neural Network  HBSA  Hybrid Backtracking Search Algorithm  HWM  Holt-Winters Model  IMFs  Intrinsic Mode Functions  IS  Input parameter Selection  KF  Kalman filter  LSSVM  Least Square Support Vector Machine  MAE  Mean Absolute Error  MAPE  Mean Absolute Percentage Error  MLP  Multilayer Perceptron Neural Network  MOBA  Multi Objective Bat Algorithm  NNCT  No Negative Constraint Theory  NSGA  Non-dominated Sorting Genetic Algorithm  OVMD  Optimized Variational Mode Decomposition  PSO  Particle Swam Optimization  PSOSA  Particle Swarm Optimization based on Simulated Annealing  PSR  Phase Space Reconstruction  RBF  Radial Basis Function Neural Network  RMSE  Root Mean Square Error  SAC  Second-order Adaptive Coefficient  SAM  Seasonal Adjustment Method  SDA  Secondary Decomposition Algorithm  SEA  Seasonal Exponential Adjustment  SOM  Self-Organizing feature Maps  SSA  Singular Spectrum Analysis  SVR  Support Vector Regression  VMD  Variational Mode Decomposition  v-SVM  v-Support Vector Machine  WD  Wavelet Decomposition  WPD  Wavelet Packet Decomposition  
Monocular Visual Odometry Based on Trifocal Tensor Constraint 会议论文
2018 INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING AND ARTIFICIAL INTELLIGENCE (CCEAI 2018), 2018-01-01
作者:  Chen, Y. J.;  Yang, G. L.;  Jiang, Y. X.;  Liu, X. Y.
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30

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