Title
Tracking control of a robot manipulator using a direct model reference adaptive fuzzy control
Abstract
A direct model reference adaptive fuzzy control (MRAFC) scheme is developed for the plant model whose structure is represented by the Takagi-Sugeno model. The MRAFC scheme is proposed to provide asymptotic tracking of a reference signal for the systems with uncertain or slowly time-varying parameters. The developed control law and adaptive law guarantee the boundedness of all signals in the closed-loop system. In addition, the plant state tracks the state of the reference model asymptotically with time for any bounded reference input signal. The suggested design technique is applied to tracking control of a two-link robot manipulator
Year
DOI
Venue
1999
10.1109/IROS.1999.812988
IROS
Keywords
Field
DocType
uncertain systems,bounded reference input signal,asymptotic stability,takagi-sugeno model,asymptotic tracking,direct model reference adaptive fuzzy control,continuous time systems,nonlinear control systems,manipulators,fuzzy control,position control,closed loop systems,two-link robot manipulator,tracking control,model reference adaptive control systems,control systems,nonlinear systems,robot control,adaptive control,reference model,fuzzy systems
Robot control,Nonlinear system,Reference model,Control theory,Computer science,Control engineering,Exponential stability,Control system,Adaptive control,Fuzzy control system,Bounded function
Conference
Volume
ISBN
Citations 
1
0-7803-5184-3
3
PageRank 
References 
Authors
0.43
5
4
Name
Order
Citations
PageRank
Young-Wan Cho1817.40
Eungsun Kim21087.16
Kichul Lee3211.73
Mignon Park475970.43