Calibration of Micro-robot Inverse Kinematics Using Iterative Learning Approach

Real-time Iterative Learning Control - Advances in Industrial Control ◽

10.1007/978-1-84882-175-0_10 ◽

2008 ◽

pp. 169-180

Keyword(s):

Inverse Kinematics ◽

Iterative Learning ◽

Learning Approach ◽

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Fault Estimation for Nonlinear Repetitive Systems: An Iterative Learning Approach

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8483185 ◽

2018 ◽

Author(s):

Jiantao Shi ◽

Le Xin ◽

Jun Sun ◽

Yuhao Yang ◽

Ning Wang

Keyword(s):

Iterative Learning ◽

Fault Estimation ◽

Learning Approach ◽

Repetitive Systems

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An iterative learning approach to identify fractional order KiBaM model

IEEE/CAA Journal of Automatica Sinica ◽

10.1109/jas.2017.7510358 ◽

2017 ◽

Vol 4 (2) ◽

pp. 322-331 ◽

Author(s):

Yang Zhao ◽

Yan Li ◽

Fengyu Zhou ◽

Zhongkai Zhou ◽

YangQuan Chen

Keyword(s):

Fractional Order ◽

Iterative Learning ◽

Learning Approach

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Quantized Consensus Control for Second-Order Nonlinear Multi-agent Systems with Sliding Mode Iterative Learning Approach

International Journal of Aeronautical and Space Sciences ◽

10.1007/s42405-018-0043-1 ◽

2018 ◽

Vol 19 (2) ◽

pp. 518-533 ◽

Author(s):

Xiongfeng Deng ◽

Xiuxia Sun ◽

Ri Liu

Keyword(s):

Sliding Mode ◽

Second Order ◽

Iterative Learning ◽

Learning Approach ◽

Multi Agent Systems ◽

Consensus Control ◽

Agent Systems ◽

Multi Agent ◽

Quantized Consensus

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Coordinated tracking of linear multi-agent systems with a dynamic leader: An iterative learning approach

2014 International Conference on Mechatronics and Control (ICMC) ◽

10.1109/icmc.2014.7231631 ◽

2014 ◽

Author(s):

Zhouhua Peng ◽

Dan Wang ◽

Hao Wang ◽

Wei Wang ◽

Liang Diao

Keyword(s):

Iterative Learning ◽

Learning Approach ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Coordinated Tracking

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A Multiagent Reinforcement Learning approach for inverse kinematics of high dimensional manipulators with precision positioning

2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob) ◽

10.1109/biorob.2016.7523669 ◽

2016 ◽

Author(s):

Yasmin Ansari ◽

Egidio Falotico ◽

Yoan Mollard ◽

Baptiste Busch ◽

Matteo Cianchetti ◽

...

Keyword(s):

Reinforcement Learning ◽

Inverse Kinematics ◽

High Dimensional ◽

Learning Approach ◽

Precision Positioning ◽

Multiagent Reinforcement Learning

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Optimal Tuning of PID Parameters Using Iterative Learning Approach

2007 IEEE 22nd International Symposium on Intelligent Control ◽

10.1109/isic.2007.4450889 ◽

2007 ◽

Author(s):

Jian-Xin Xu ◽

Deqing Huang

Keyword(s):

Iterative Learning ◽

Learning Approach ◽

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Iterative learning approach to active noise control of highly autocorrelated signals with applications to machinery noise

IET Signal Processing ◽

10.1049/iet-spr.2020.0064 ◽

2020 ◽

Vol 14 (8) ◽

pp. 560-568

Author(s):

Adam Lasota ◽

Michal Meller

Keyword(s):

Noise Control ◽

Active Noise Control ◽

Iterative Learning ◽

Learning Approach ◽

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Optimal Tuning of Altitude Controller Parameters of Unmanned Aerial Vehicle Using Iterative Learning Approach

Advances in Intelligent Systems and Computing - Automation 2019 ◽

10.1007/978-3-030-13273-6_38 ◽

2019 ◽

pp. 398-407

Author(s):

Wojciech Giernacki

Keyword(s):

Unmanned Aerial Vehicle ◽

Iterative Learning ◽

Learning Approach ◽

Optimal Tuning ◽

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An Iterative Learning Approach for Train Trajectory Tracking Control1

IFAC Proceedings Volumes ◽

10.3182/20110828-6-it-1002.01270 ◽

2011 ◽

Vol 44 (1) ◽

pp. 14916-14921 ◽

Author(s):

Heqing Sun ◽

Zhongsheng Hou ◽

Tao Tang

Keyword(s):

Trajectory Tracking ◽

Iterative Learning ◽

Learning Approach

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Iterative learning approach for traffic signal control of urban road networks

IET Control Theory and Applications ◽

10.1049/iet-cta.2016.0376 ◽

2017 ◽

Vol 11 (4) ◽

pp. 466-475 ◽

Author(s):

Fei Yan ◽

Fuli Tian ◽

Zhongke Shi

Keyword(s):

Road Networks ◽

Traffic Signal ◽

Iterative Learning ◽

Signal Control ◽

Traffic Signal Control ◽

Learning Approach ◽

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