Robust Adaptive Neural Networks with an Online Learning Technique for Robot Control

2006 ◽  
pp. 1153-1159 ◽  
Author(s):  
Zhi-gang Yu ◽  
Shen-min Song ◽  
Guang-ren Duan ◽  
Run Pei
Keyword(s):  
Neural Networks ◽  
Online Learning ◽  
Robot Control ◽  
Adaptive Neural Networks ◽  
Learning Technique ◽  
Robust Adaptive

scholarly journals Adaptive Neural Networks Synchronization of a Four-Dimensional Energy Resource Stochastic System

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Duo Meng
Keyword(s):  
Neural Networks ◽  
Control Method ◽  
Energy Resource ◽  
Design System ◽  
Synchronization Control ◽  
Input Constraints ◽  
Stochastic Disturbances ◽  
Adaptive Neural Networks ◽  
The Neural Networks ◽  
Robust Adaptive

An adaptive neural networks chaos synchronization control method is proposed for a four-dimensional energy resource demand-supply system with input constraints. Assuming the response system contains unknown uncertain nonlinearities and unknown stochastic disturbances, the neural networks and robust terms are used to identify the nonlinearities and overcome the stochastic disturbances, respectively. Based on stochastic Lyapunov stability and robust adaptive theories, an adaptive neural networks synchronization control method is developed. In the design process, an auxiliary design system is employed to address input constraints. Simulation results, which fully coincide with theoretical results, are presented to demonstrate the obtained results.

Robust adaptive neural networks control for dynamic positioning of ships with unknown saturation and time-delay

2021 ◽  
Vol 110 ◽  
pp. 102609
Author(s):  
Kun Liang ◽  
Xiaogong Lin ◽  
Yu Chen ◽  
Yeye Liu ◽  
Zhaoyu Liu ◽  
...  
Keyword(s):  
Neural Networks ◽  
Time Delay ◽  
Dynamic Positioning ◽  
Adaptive Neural Networks ◽  
Robust Adaptive

Uncertain information fusion with robust adaptive neural networks-fuzzy reasoning

2006 ◽  
Vol 17 (3) ◽  
pp. 495-501 ◽  
Author(s):  
Zhang Yinan ◽  
Sun Qingwei ◽  
Quan He ◽  
Jin Yonggao ◽  
Quan Taifan
Keyword(s):  
Neural Networks ◽  
Information Fusion ◽  
Fuzzy Reasoning ◽  
Uncertain Information ◽  
Adaptive Neural Networks ◽  
Robust Adaptive

scholarly journals Spiking Neural Networks and online learning: An overview and perspectives

2020 ◽  
Vol 121 ◽  
pp. 88-100 ◽  
Author(s):  
Jesus L. Lobo ◽  
Javier Del Ser ◽  
Albert Bifet ◽  
Nikola Kasabov
Keyword(s):  
Neural Networks ◽  
Online Learning ◽  
Spiking Neural Networks

Forward Kinematic Modeling of Conical-Shaped Continuum Manipulators

Robotica ◽  
2021 ◽  
pp. 1-19
Author(s):  
A. H. Bouyom Boutchouang ◽  
Achille Melingui ◽  
J. J. B. Mvogo Ahanda ◽  
Othman Lakhal ◽  
Frederic Biya Motto ◽  
...  
Keyword(s):  
Neural Networks ◽  
Data Collection ◽  
Robot Control ◽  
Deep Neural Networks ◽  
Forward Kinematics ◽  
Kinematic Modeling ◽  
Experimental Platform ◽  
Continuum Manipulators ◽  
Forward Kinematic

SUMMARY Forward kinematics is essential in robot control. Its resolution remains a challenge for continuum manipulators because of their inherent flexibility. Learning-based approaches allow obtaining accurate models. However, they suffer from the explosion of the learning database that wears down the manipulator during data collection. This paper proposes an approach that combines the model and learning-based approaches. The learning database is derived from analytical equations to prevent the robot from operating for long periods. The database obtained is handled using Deep Neural Networks (DNNs). The Compact Bionic Handling robot serves as an experimental platform. The comparison with existing approaches gives satisfaction.

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