Closed-loop system identification of LPV input-output models - application to an arm-driven inverted pendulum

Proceedings of the IEEE Conference on Decision and Control

Volumn , Issue , 2008, Pages 2606-2611

  Boonto, Sudchai ^a   Werner, Herbert ^a  

^a HAMBURG UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

PENDULUMS; RELIGIOUS BUILDINGS;

CLOSED LOOPS; INPUT OUTPUT MODEL; INVERTED PENDULUM; LINEAR TIME INVARIANT MODEL; LPV MODELS; LPV SYSTEMS; OUTPUT ERROR IDENTIFICATION;

CLOSED LOOP SYSTEMS;

EID: 62949132379     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2008.4739334     Document Type: Conference Paper

References (17)

1. P. Apkarian, G. Becker, P. Gahinet, and H. Kajiwara. LMI techniques in control engineering from theory to practice. In Workshop Notes - IEEE Conference on Decision and Control, Kobe, Japan, December 9-10 1996.
2. R. T. Bambang and H. Subagiyo. LPV model identification of feedgas pre-heater in ammonia plant. In Proceedings of the 18th IASTED International Conference Modelling and Simulation, pages 331-337, Montreal, Quebec, Canada, May 30-June 1 2007.
3. B. Bamieh and L. Giarré. Identification of linear parameter varying models. International Journal of Robust and Nonlinear Control, 12(9):841-853, July 2002.
4. L. Giarré, D. Bauso, P. Falugi, and B. Bamieh. LPV model identification for gain scheduling control: An application to rotating stall and surge control problem. Control Engineering Practice, 14(4):351-361, 2006.
5. H. Kajiwara, P. Apkarian, and P. Gahinet. LPV techniques for control of an inverted pendulum. IEEE Control Systems Magazine, 19(1):44-54, February 1999.
6. I. D. Landau. Identification in closed loop: A powerful design tool (better design models, simpler controllers). Control Engineering Practice, 9(1):51-65, 2001.
7. I. D. Landau and A. Karimi. Recursive algorithms for identification in closed loop: A unified approach and evaluation. Automatica, 33(8):1499-1523, 1997.
8. I. D. Landau and A. Karimi. A unified approach to model estimation and controller reduction (duality and coherence). European Journal of Control, 8(6):561-572, 2001.
9. I. D. Landau and G. Zito. Digital Control Systems Design, Identification and Implementation. Springer, 2006.
10. H. Lee. A Plant-Friendly Multivariable System Identification Framework based on Identification Test Monitoring. PhD thesis, Arizona State University, 2006.
11. L. Ljung. System Identification Theory for the User. Prentice Hall, Upper Saddle River, NJ, 2 edition, 1999.
12. Quanser Consulting Inc. SRV03 Direct Drive Rotary Plant with Slipring: Position Servo and Planar Self-Erecting IP.
13. W. J. Rugh and J. S. Shamma. Research on gain scheduling. Automatica, 36(10 10 10):1401-1425, 2000.
14. R. Tóth, F. Felici, P. S. C. Heuberger, and P. M. J. Van den Hof. Discrete time LPV I/O and state space representations, differences of behavior and pitfalls of interpolation. In Proceedings of the European Control Conference, pages 5418-5425, Kos, Greece, July 2-5 2007.
15. V. Verdult. Nonlinear System Identification: A State-space Approach. PhD thesis, University of Twente, The Netherlands, 2002.
16. X. Wei. Advanced LPV Techniques for Diesel Engines. PhD thesis, Joannes Kepler Universität, Linz, Austria, 2006.
17. W.-S. Yu. An indirect adaptive pole-placement control for MIMO discrete-time stochastic systems. International Journal of Adaptive Control and Signal Processing, 19(7):547-573, 2005.