Virtual Reference Feedback Tuning for linear parameter-varying systems

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 44, Issue 1 PART 1, 2011, Pages 10219-10224

  Formentin, Simone ^a   Savaresi, Sergio M ^a  

^a POLITECNICO DI MILANO   (Italy)

Author keywords

Data driven control; Linear parameter varying systems; Model free design; VRFT

Indexed keywords

LINEAR SYSTEMS; METADATA; MODEL REFERENCE ADAPTIVE CONTROL;

DATA-DRIVEN ALGORITHM; DATA-DRIVEN CONTROL; LINEAR PARAMETER VARYING SYSTEMS; MODEL FREE; MODEL MATCHING; MODEL REFERENCE; VIRTUAL REFERENCE FEEDBACK TUNING; VRFT;

FEEDBACK;

EID: 84866772517     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20110828-6-IT-1002.01184     Document Type: Conference Paper

References (13)

1. A. Abdullah and M. Zribi. Model reference control of LPV systems. Journal of the Franklin Institute, (346):854-871, 2009.
2. B. Bamieh and L. Giarre. Identification of linear parameter varying models. International Journal of Robust and Nonlinear Control, 12(9):841-853, 2002.
3. M. Butcher and A. Karimi. Data-driven tuning of linear parameter-varying precompensators. International Journal of Adaptive Control and Signal Processing, 2010.
4. M. Butcher, A. Karimi, and R. Longchamp. On the consistency of certain identification methods for linear parameter varying systems. In Proc. of the 17th IFAC World Congress, pages 4018-4023, 2008.
5. M.C. Campi and S.M. Savaresi. Direct nonlinear control design: The virtual reference feedback tuning (vrft) approach. IEEE Transactions on Automatic Control, 51(1):14-27, 2006.
6. M.C. Campi, A. Lecchini, and S.M. Savaresi. Virtual reference feedback tuning: a direct method for the design of feedback controllers. Automatica, 38(8):1337-1346, 2002.
7. M. Corno, S.M. Savaresi, and G.J. Balas. On linearparameter- varying (LPV) slip-controller design for twowheeled vehicles. International Journal of Robust and Nonlinear Control, 19(12):1313-1336, 2009.
8. E.W. Kamen and P.P. Khargonekar. Control of linear systems whose coefficients are functions of parameters. IEEE Transactions on Automatic Control, 29(1):25-33, 1984.
9. LH Lee and K. Poolla. Identification of Linear Parameter- Varying Systems Using Nonlinear Programming. Journal of Dynamic Systems, Measurement, and Control, 121:71-78, 1999.
10. L. Ljung. System identification: theory for the user. Prentice-Hall Englewood Cliffs, NJ, 1987.
11. J.S. Shamma and M. Athans. Guaranteed properties of gain scheduled control for linear parameter-varying plants. Automatica, 27(3):559-564, 1991.
12. R. Toth. Modeling and Identification of Linear Parameter- Varying Systems, an Orthonormal Basis Function Approach. PhD thesis, Delft University of Technology, 2008.
13. V. Verdult and M. Verhaegen. Subspace identification of multivariable linear parameter-varying systems* 1. Automatica, 38(5):805-814, 2002.