Saturated adaptive back-stepping control for robot manipulators with RBF neural network approximation

2016 IEEE International Conference on Information and Automation (ICIA) ◽

10.1109/icinfa.2016.7832065 ◽

2016 ◽

Author(s):

Huashan Liu ◽

Yajun Zhang ◽

Wenxiang Wu

Keyword(s):

Neural Network ◽

Robot Manipulators ◽

Rbf Neural Network ◽

Back Stepping Control

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Intelligent controller for hybrid force and position control of robot manipulators using RBF neural network

International Journal of Dynamics and Control ◽

10.1007/s40435-018-0487-y ◽

2018 ◽

Vol 7 (2) ◽

pp. 767-775 ◽

Author(s):

Komal Rani ◽

Naveen Kumar

Keyword(s):

Neural Network ◽

Position Control ◽

Robot Manipulators ◽

Rbf Neural Network ◽

Intelligent Controller

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An RBF neural network-based nonsingular terminal sliding mode controller for robot manipulators

2012 Third International Conference on Intelligent Control and Information Processing ◽

10.1109/icicip.2012.6391479 ◽

2012 ◽

Author(s):

Tingzhe Jia ◽

Gewen Kang

Keyword(s):

Neural Network ◽

Sliding Mode ◽

Robot Manipulators ◽

Rbf Neural Network ◽

Sliding Mode Controller ◽

Terminal Sliding Mode ◽

Nonsingular Terminal Sliding Mode

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Tracking Control of Parallel Robot Manipulators Using RBF Neural Network

Research in Intelligent and Computing in Engineering - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-15-7527-3_59 ◽

2021 ◽

pp. 629-642

Author(s):

Vu Le Huy ◽

Nguyen Dinh Dzung

Keyword(s):

Neural Network ◽

Tracking Control ◽

Robot Manipulators ◽

Rbf Neural Network ◽

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Research on RBF neural network model compensation and adaptive control of robot manipulators

2016 Chinese Control and Decision Conference (CCDC) ◽

10.1109/ccdc.2016.7531039 ◽

2016 ◽

Author(s):

Jing Jiang ◽

Song Cao ◽

Ying Dai

Keyword(s):

Neural Network ◽

Adaptive Control ◽

Network Model ◽

Neural Network Model ◽

Robot Manipulators ◽

Rbf Neural Network

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RBF Neural Network Control Based on Parameter Adjustable CNF for Robot Manipulators Behaviors

2018 Chinese Automation Congress (CAC) ◽

10.1109/cac.2018.8623190 ◽

2018 ◽

Author(s):

GONG Chenglong ◽

JIANG Yuan ◽

LU Ke

Keyword(s):

Neural Network ◽

Robot Manipulators ◽

Rbf Neural Network ◽

Network Control ◽

Neural Network Control

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Tracking control of redundant robot manipulators using RBF neural network and an adaptive bound on disturbances

International Journal of Precision Engineering and Manufacturing ◽

10.1007/s12541-012-0181-5 ◽

2012 ◽

Vol 13 (8) ◽

pp. 1377-1386 ◽

Author(s):

Naveen Kumar ◽

Jin-Hwan Borm ◽

Vikas Panwar ◽

Jangbom Chai

Keyword(s):

Neural Network ◽

Tracking Control ◽

Robot Manipulators ◽

Rbf Neural Network ◽

Redundant Robot

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RBF Neural Network-Based Terminal Sliding Mode Control for Robot Manipulators

Advances in Intelligent Systems and Computing - Soft Computing: Theories and Applications ◽

10.1007/978-981-16-1740-9_45 ◽

2021 ◽

pp. 547-557

Author(s):

Ruchika ◽

Naveen Kumar

Keyword(s):

Neural Network ◽

Sliding Mode Control ◽

Sliding Mode ◽

Robot Manipulators ◽

Rbf Neural Network ◽

Terminal Sliding Mode Control ◽

Terminal Sliding Mode ◽

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Stability Analysis of HJB-Based Optimal Control for Hybrid Motion/Force Control of Robot Manipulators Using RBF Neural Network

Advances in Intelligent Systems and Computing - Soft Computing: Theories and Applications ◽

10.1007/978-981-16-1740-9_44 ◽

2021 ◽

pp. 535-546

Author(s):

Komal Rani ◽

Naveen Kumar

Keyword(s):

Neural Network ◽

Optimal Control ◽

Stability Analysis ◽

Force Control ◽

Robot Manipulators ◽

Rbf Neural Network ◽

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Active Disturbance Rejection Course Control for USV Based on RBF Neural Network

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9188760 ◽

2020 ◽

Author(s):

Lei Liu ◽

Yunsheng Fan

Keyword(s):

Neural Network ◽

Disturbance Rejection ◽

Rbf Neural Network ◽

Active Disturbance Rejection ◽

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Humidity Error Compensating of MEMS Gyros Based on A daptive Threshold Denoising and RBF Neural Network

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8482841 ◽

2018 ◽

Author(s):

Wang Xin-Wang ◽

Shen Xiao-Lin ◽

Cao Hui-Liang ◽

Deng Bo-Wen

Keyword(s):

Neural Network ◽

Rbf Neural Network

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