Towards integrated modelling and parameter estimation: An LFT-Modelica approach

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 15, Issue PART 1, 2009, Pages 1286-1291

  Donida, F ^a   Romani, C ^a   Casella, F ^a   Lovera, M ^a  

^a POLITECNICO DI MILANO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BLOCK DIAGRAMS; CONTROL TECHNIQUES; ERROR-PRONE PROCESS; EXPERIMENTAL DATA; FIRST-PRINCIPLES; INTEGRATED MODELLING; LINEAR FRACTIONAL TRANSFORMATIONS; MODEL DESCRIPTION; MODEL IDENTIFICATION; MODELICA LANGUAGE; MODERN CONTROL; NON-TRIVIAL; OBJECT DIAGRAMS; OBJECT ORIENTED; PLANT DYNAMICS; REDUCED ORDER; SIGNAL CONNECTIONS; STATE SPACE REPRESENTATION; SYSTEM IDENTIFICATION THEORY; TECHNOLOGICAL SYSTEM; USER-FRIENDLY MODELS;

LINEAR TRANSFORMATIONS; MODELS; PARAMETER ESTIMATION;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 77956324758     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20090706-3-FR-2004.0382     Document Type: Conference Paper

References (16)

1. [Ope] OpenModelica home page. URL http://www.ida.liu.se/projects/ OpenModelica/.
2. T. Bohlin. Practical Grey-box Process Identification: Theory and Applications. Springer-Verlag, 2006.
3. F. Casella, F. Donida, and M. Lovera. Beyond sim-ulation: Computer aided control system design using equation-based object oriented modelling for the next decade. In Proceedings 2nd International Workshop on Equation-Based Object-Oriented Languages and Tools, Paphos, Cyprus, 8 Jul 2008.
4. F. Casella, F. Donida, and M. Lovera. Automatic generation of LFTs from object-oriented non-linear models with uncertain parameters. In Proceedings of the 6th International Conference on Mathematical Modelling, Vienna, Austria, 2009.
5. F. Demourant and G. Ferreres. Closed loop identifica-tion of a LFT model. Journal Europfieen des Systémes Automatisés, 36(3):449-464, 2002.
6. P. Fritzson. Principles of Object-Oriented Modeling and Simulation with Modelica 2.1. Wiley, 2003.
7. S. Hecker and A. Varga. Symbolic manipulation techniques for low order LFT-based parametric un-certainty modelling. International Journal of Control, 79(11):1485-1494, 2006. (Pubitemid 44267820)
8. K. Hsu, T. Vincent, G. Wolodkin, S. Rangan, and K. Poolla. An LFT approach to parameter estimation. Automatica, 44(12):3087-3092, 2008.
9. L. Lee and K. Poolla. Identification of linear parameter-varying systems using nonlinear program-ming. Journal of Dynamic Systems, Measurement and Control-Transactions of the ASME, 121(1):71-78, 1999.
10. L. Ljung. Perspectives on system identification. In 2008 IFAC World Congress, Soul, South Korea, 2008.
11. J.-F. Magni. Linear fractional representation toolbox. Technical Report TR 6/08162 DCSD, ONERA, 2004.
12. S. E. Mattsson, H. Elmqvist, and M. Otter. Physical system modeling with Modelica. Control Engineering Practice, 6(4):501-510, 1998. (Pubitemid 28445721)
13. P. C. Pellanda, P. Apkarian, and H. D. Tuan. Missile autopilot design via a multi-channel lft/lpv control method. International Journal of Robust and Non-linear Control, 12(1):1-20, 2002. (Pubitemid 34104723)
14. [The Modelica Association] The Modelica Associ-ation. Modelica home page. Online. URL: http://www.modelica.org/.
15. G. Wolodkin, S. Rangan, and K. Poolla. An LFT approach to parameter estimation. In Proceedings of the 1997 American Control Conference, volume 3, 1997.
16. K. Zhou, J. U. Doyle, and K. Glover. Robust and optimal control. Prentice-Hall, New Jersey, 1996.