Journal ArticleDOI
Adaptive control of robot manipulators using fuzzy neural networks
Yang Gao,Meng Joo Er,Song Yang +2 more
TLDR
An adaptive fuzzy neural controller suitable for multilink manipulators motion control with self-organizing fuzzy neural structure, fast convergence of tracking error, and adaptive control is presented.Abstract:
This paper presents an adaptive fuzzy neural controller suitable for multilink manipulators motion control. The proposed controller has the following salient features: (1) self-organizing fuzzy neural structure; (2) online learning of the robot dynamics; (3) fast convergence of tracking error; and (4) adaptive control. Computer simulation results of a two-link manipulator demonstrate that excellent tracking performance can be achieved under external disturbances.read more
Citations
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Journal ArticleDOI
Online adaptive fuzzy neural identification and control of a class of MIMO nonlinear systems
Yang Gao,Meng Joo Er +1 more
TL;DR: This paper presents a robust adaptive fuzzy neural controller suitable for identification and control of a class of uncertain multiple-input-multiple-output (MIMO) nonlinear systems.
Journal ArticleDOI
Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature
TL;DR: It is concluded that the fuzzy neural network models and their derivations are efficient in constructing a system with a high degree of accuracy and an appropriate level of interpretability working in a wide range of areas of economics and science.
Journal ArticleDOI
Robust adaptive control of robot manipulators using generalized fuzzy neural networks
Meng Joo Er,Yang Gao +1 more
TL;DR: Experimental evaluation conducted on an industrial selectively compliant assembly robot arm demonstrates that excellent tracking performance can be achieved under time-varying conditions.
Journal ArticleDOI
Recurrent fuzzy wavelet neural networks based on robust adaptive sliding mode control for industrial robot manipulators
TL;DR: A robust adaptive control method based on recurrent fuzzy wavelet neural networks (RFWNNs) system for industrial robot manipulators (IRMs) to improve high accuracy of the tracking control and to demonstrate the effectiveness and robustness of the proposed RFWNNs methodology.
Journal ArticleDOI
Online adaptive fuzzy neural identification and control of a class of mimo nonlinear systems
Yang Gao,Meng Joo Er +1 more
TL;DR: A robust Adaptive Fuzzy Neural Controller suitable for identification and control of a class of uncertain MIMO nonlinear systems using the Lyapunov approach is presented.
References
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Book
Applied Nonlinear Control
TL;DR: Covers in a progressive fashion a number of analysis tools and design techniques directly applicable to nonlinear control problems in high performance systems (in aerospace, robotics and automotive areas).
Journal ArticleDOI
Dynamic fuzzy neural networks-a novel approach to function approximation
Shiqian Wu,Meng Joo Er +1 more
TL;DR: Simulation studies and comprehensive comparisons with some other learning algorithms demonstrate that a more compact structure with higher performance can be achieved by the proposed approach.
Journal ArticleDOI
A supervisory fuzzy neural network control system for tracking periodic inputs
TL;DR: Simulation and experimental results show that the proposed control system is robust with regard to plant parameter variations and external load disturbance and the advantages of the proposedcontrol system are indicated in comparison with the sliding-mode control system.
Proceedings ArticleDOI
A neural network approach to real-time motion planning and control of robot manipulators
Xianyi Yang,M. Meng +1 more
TL;DR: Both the motion planning and motion control modules are computationally efficient, and their global stabilities are proved using Lyapunov stability theory.
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Robust adaptive control of robot manipulators using generalized fuzzy neural networks
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