Paper Info
Title
Designing a Muscle like System Based on PID Controller and Tuned by Neural Network
Abstract
This paper presents a study on a muscle like system based on a PID controller tuned by a neural network. The approach is based on a non linear muscle model using system identification based on a NNARX (neural network autoregressive exogenous) structure. This model is used in a special configuration of an MLP in order to let the output of the closed loop formed by the motor and controller to follow that of this non linear muscle model. Two structures are compared and the robustness of the approach is tested with different models of DC motors.
Year
DOI
Venue
2006
10.1109/IJCNN.2006.247203
Vancouver, BC
Keywords
Field
DocType
autoregressive processes,closed loop systems,control system synthesis,identification,learning systems,legged locomotion,motion control,neurocontrollers,nonlinear control systems,robust control,three-term control,PID controller,closed loop system,muscle like system design,neural network autoregressive exogenous structure,nonlinear muscle model,robustness,system identification,walking robot
Motion control,Control theory,PID controller,Control theory,Computer science,DC motor,Robustness (computer science),Robust control,System identification,Artificial neural network
Conference
ISSN
ISBN
Citations 
2161-4393
0-7803-9490-9
2
PageRank 
References 
Authors
0.39
2
3
Name
Order
Citations
PageRank
Hayssam J. Serhan120.39
Chaiban G. Nasr220.39
Patrick Henaff37711.33