High performance motion tracking control

Proceedings of the IEEE International Conference on Control Applications

Volumn 1, Issue , 2004, Pages 718-723

  Potsaid, Benjamin ^a   Wen, John T ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FINITE IMPULSE RESPONSE (FIR); LINEAR TIME INVARIANT (LTI); MOTION TRACKING; SINGLE-INPUT/SINGLE OUTPUT (SISO);

ALGORITHMS; ERROR ANALYSIS; FEEDBACK CONTROL; IMPULSE RESPONSE; ITERATIVE METHODS; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO; TRACKING (POSITION); TRANSFER FUNCTIONS;

MOTION CONTROL;

EID: 17744379641     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. T. McKelvey, H. Akcay, and L. Ljung. Subspace-based multivariable system identification from frequency response data. IEEE Trans. Automat. Contr., 41(7):960-979, July 1996.
2. P. Van Overschee and B. De Moor. Coninuous-time frequency domain subspace system identification, signal Processing, Special Issue on Subspace Methods, Part: System Identification, 52:179-194, 1996.
3. S. Arimoto. Mathematical theory of learning with applications to robot control. In K.S. Narendra, editor, Adaptive and Learning Systems: Theory and Applications. Plenum Press, New York, 1985.
4. J.X. Xu and Q. Ji. New ILC algorithms with improved convergence for a class of non-affine functions. In Conference on Decision and Control, pages 660-665, Tampa, FL, December 1998.
5. J.X. Xu and Y. Tan. On the P-type and Newton-type ILC schemes for dynamic systems with non-affine-in-input factors. Automatica, 38(7):1237-1242, July 2002.
6. W. Cheng and J.T. Wen. A class of learning controllers with application to tracking control of a flexible beam. In Proc. 1993 IEEE Conference on Robotics and Automation, pages 411-416, Atlanta, GA, May 1993.
7. D.M. Gorinevsky. Direct learning of feedforward control for manipulator path tracking. In Proceedings of the 1992 IEEE International Symposium on Intelligent Control, pages 42-47, Glasgow, UK, August 1992.
8. K.E. Avrachenkov. Iterative learning control based on quasi-newton methods. In Conference on Decision and Control, pages 170-174, Tampa, FL, December 1998.
9. S. Haykin. Adaptive Filter Theory. Prentice-Hall, 3 edition, 1996.
10. G.C. Goodwin and K.S. Sin. Adaptive Filtering Prediction and Control. Prentice-Hall, 1984.