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A Novel Noise Suppression and Artifact Removal Method of Mechanomyography Based on RLS, IGWO-VMD, and CEEMDAN
期刊论文
JOURNAL OF SENSORS, 2022, 卷号: 2022
作者:
Li, Zebin
;
Gao, Lifu
;
Lu, Wei
;
Wang, Daqing
;
Cao, Huibin
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/12/22
Incremental Learning Framework for Autonomous Robots based on Q-learning and the Adaptive Kernel Linear Model
期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2022, 卷号: 14, 期号: 1, 页码: 64-74
作者:
Hu YM(胡艳明)
;
Li DC(李德才)
;
He YQ(何玉庆)
;
Han JD(韩建达)
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2020/01/18
incremental learning
path planning
Q-learning
autonomous robots
recursive least squares algorithm
L2-norm
Distributed Recursive Projection Identification with Binary-Valued Observations
期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2021, 卷号: 34, 期号: 5, 页码: 2048-2068
作者:
Wang Ying
;
Zhao Yanlong
;
Zhang Ji-Feng
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2022/04/02
Adaptive predictor
binary-valued observations
cooperative excitations
distributed parameter estimation
Adaptive Tracking Control of FIR Systems Under Binary-Valued Observations and Recursive Projection Identification
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 9, 页码: 5289-5299
作者:
Wang, Ting
;
Hu, Min
;
Zhao, Yanlong
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  |  
浏览/下载:92/0
  |  
提交时间:2021/10/26
Adaptive tracking control
binary-valued observations
convergence
convergence rate
finite impulse response (FIR) systems
identification
Asymptotically Efficient Recursive Identification of FIR Systems With Binary-Valued Observations
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 5, 页码: 2687-2700
作者:
Zhang, Hang
;
Wang, Ting
;
Zhao, Yanlong
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  |  
浏览/下载:123/0
  |  
提交时间:2021/06/01
Finite impulse response filters
Convergence
Approximation algorithms
Adaptive control
Projection algorithms
Estimation
Control systems
Asymptotic efficiency
binary-valued observations
convergence
Cramé
r–
Rao (CR) lower bound
identification
Position Control of a Flexible Manipulator Using a New Nonlinear Self-Tuning PID Controller
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 1, 页码: 136-149
作者:
Santanu Kumar Pradhan
;
Bidyadhar Subudhi
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/03/11
Flexible-link manipulator
position control
selftuning control
NARMAX
trajectory tracking
Multiple model adaptive control of nonlinear systems based on clustering method and neural network
期刊论文
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2019, 卷号: 41, 期号: 9, 页码: 2100-2106
作者:
Tang, Weiqiang
;
Long, Wenkun
;
Sun, Lijuan
;
Huang, Xiaoli
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/11/14
Clustering algorithms
Controllers
Fuzzy clustering
Least squares approximations
Neural networks
Nonlinear systems
Predictive analytics
Adaptive Control
Fuzzy c-means clustering algorithms
Multiple-model adaptive controls
Multiple-model methods
Nonlinear neural networks
Nonlinear prediction model
Recursive least squares method
Robust adaptive controller
Lossless compression of hyperspectral imagery using a fast adaptive-length-prediction RLS filter
期刊论文
REMOTE SENSING LETTERS, 2019, 卷号: 10, 期号: 4, 页码: 401-410
作者:
Song, Jinwei
;
Zhou, Li
;
Deng, Chao
;
An, Junshe
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2019/01/31
Time Series Online Prediction Based on Adaptive Dynamic Adjustment Kernel Recursive Least Squares Algorithm
会议论文
9th International Conference on Intelligent Control and Information Processing, ICICIP 2018, Wanzhou, China, 2018-11-09
作者:
Han, Min
;
Ma, Junzhu
;
Kanae, Shunshoku
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  |  
浏览/下载:22/0
  |  
提交时间:2019/12/02
Budget control
Computational complexity
Efficiency
Forecasting
Intelligent control
Matrix algebra
Time series, Adaptive dynamics
Dynamic update
Fixed budget
Kernel matrices
Kernel recursive least squares
Multi dimensional
Multi-step
Online prediction, Least squares approximations
Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 页码: 1160-1172
作者:
Han, Min
;
Zhang, Shuhui
;
Xu, Meiling
;
Qiu, Tie
;
Wang, Ning
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/02
Adaptive
kernel recursive least squares (KRLS)
online time series prediction
sparse
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