Comparison of performance of neural network controller and DAC based adaptive controller for a robot arm

2003 ◽  
Author(s):  
A. Davari ◽  
V.B. Konkimalla ◽  
P. Koduru
Keyword(s):  
Neural Network ◽  
Adaptive Controller ◽  
Robot Arm ◽  
Neural Network Controller ◽  
Network Controller

Dual Adaptive Neural Network Controller for Underactuated Systems

Robotica ◽  
2021 ◽  
pp. 1-18
Author(s):  
Seyed Hassan Zabihifar ◽  
Hamed Navvabi ◽  
Arkady Semenovich Yushchenko
Keyword(s):  
Neural Network ◽  
Adaptive Controller ◽  
Underactuated Systems ◽  
Adaptive Neural Network ◽  
Neural Network Controller ◽  
Network Controller ◽  
Control Scheme ◽  
Equivalent Control ◽  
Inertia Wheel Pendulum ◽  
The Given

SUMMARY A new stable adaptive controller based on a neural network for underactuated systems is proposed in this paper. The control scheme has been developed for two underactuated systems as examples. The Furuta pendulum and the Inertia Wheel Pendulum (IWP) have been examined in this paper. The presented approach aims to address the control problem of the given system in swing up, stabilization, and disturbance rejection. To avoid oscillations, two adaptive neural networks (ANNs) are implemented. The first one is used to approximate the equivalent control online and the second one to minimize the oscillations.

Research on Intelligent Variable Frequency of Air-Conditioner Control System Based on Fuzzy Control

2011 ◽  
Vol 110-116 ◽  
pp. 4076-4084
Author(s):  
Hai Cun Du
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Neural Network ◽  
Air Conditioner ◽  
Neural Network Controller ◽  
The Neural Network ◽  
Network Controller ◽  
Fuzzy Neural ◽  
Fuzzy Control Strategy

In this paper, we determine the fuzzy control strategy of inverter air conditioner, the fuzzy control model structure, the neural network and fuzzy control technology, structural design of the fuzzy neural network controller as well as the neural network predictor FNNC NNP. Simulation results show that the fuzzy neural network controller can control the accuracy greatly improved the compressor, and the control system has strong adaptability to achieve a truly intelligent; model of the controller design and implementation of technology are mainly from the practical point of view, which is practical and feasible.

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