Comparative studies on repeatable runout compensation using iterative learning control

Proceedings of the American Control Conference

Volumn 4, Issue , 2001, Pages 2834-2839

  Xu, J X ^a   Lee, T H ^a   Zhang, H W ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Current cycle learning; Hard disk drive; Iterative learning control; Previous cycle learning; Repeatable run out

Indexed keywords

COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; ITERATIVE METHODS; SERVOMECHANISMS; TWO TERM CONTROL SYSTEMS;

ASYMPTOTIC CONVERGENCE PROPERTY; CURRENT CYCLE LEARNING; ITERATIVE LEARNING CONTROL; PREVIOUS CYCLE LEARNING; REPEATABLE RUN OUT;

HARD DISK STORAGE;

EID: 0034857687     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Track-following control of a dual-stage hard disk drive using a neuro-control system
2. Following control of a hard disk drive by using sampled-data H infinity control
3. Analysis and design of an optimal learning control scheme for industrial robots: A discrete system approach
4. Adaptive output feedback tracking for a class of nonlinear systems with time-varying parameters
5. Two-degree-of-freedom control with robust feedback control for hard disk servo systems
6. Iterative learning control in feedback systems
7. Analysis of iterative learning control for a class of nonlinear discrete-time systems
8. Fourier series based repetitive learning variable structure control of hard disk drives servo
9. Track-following control for optical disk drives using an iterative learning scheme
10. Bettering operation of robots by learning