Parameter reduction for LPV systems via principal components analysis

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 16, Issue , 2005, Pages 596-601

  Kwiatkowski, Andreas ^a   Werner, Herbert ^a  

^a HAMBURG UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Lyapunov methods; Nonlinear control; Scheduling algorithms

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; LYAPUNOV METHODS; SCHEDULING ALGORITHMS;

GAIN SCHEDULING CONTROLLER; INVERTED PENDULUM; LPV MODELS; LPV SYSTEMS; NON LINEAR CONTROL; PARAMETER REDUCTION; PRINCIPAL COMPONENTS ANALYSIS; TRADE OFF;

SCHEDULING;

EID: 79960707015     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20050703-6-cz-1902.00100     Document Type: Conference Paper

References (9)

1. Apkarian, P. and H. Tuan (2000). Parameterized LMIs in control theory. SIAM J. Control and Optimization 38, 1241-1264.
2. Apkarian, P., G. Becker, P. Gahinet and H. Kajiwara (1996). LMI techniques in control engineering from theory to practice. In: Workshop notes CDC. IEEE. Kobe, Japan.
3. Azuma, T., R. Watanabe, K. Uchida and M. Fujita (2000). A new LMI approach to analysis of linear systems depending on scheduling parameters in polynomial forms. automatisierungstechnik 48(4), 119-204.
4. Bruzelius, F., C. Breitholtz and S. Pettersson (2002). LPV-based gain scheduling technique applied to a turbo fan engine model. In: Proc. IEEE Conference on Decision and Control, 2002, Las Vegas, USA.
5. Dettori, M. and C. Scherer (2001). LPV design for a CD player: an experimental evaluation of performance. In: Proc. IEEE Conference on Decision and Control, 2001, Orlando, USA.
6. Jackson, J. (1991). A user's guide to principle components. Wiley series in probabilitiy and mathematical statistics. John Wiley & Sons. inc.
7. Kajiwara, H., P. Apkarian and P. Gahinet (1999). LPV techniques for control of an inverted pendulum. IEEE Control Systems Magazine 19(1), 44-54.
8. Rugh, W. J. and J. S. Shamma (2000). Research on gain scheduling. Automatica 36, 1401- 1425.
9. ∞control based on LMI approach for a robotic manipulator. Journal of Robotic Systems (12), 585-593.