Direct design from data of optimal filters for LPV systems

Systems and Control Letters

Volumn 59, Issue 1, 2010, Pages 1-8

  Ruiz, Fredy ^b   Novara, Carlo ^a   Milanese, Mario ^a  

^a POLITECNICO DI TORINO   (Italy)

^b PONTIFICIA UNIVERSIDAD JAVERIANA   (Colombia)

Author keywords

Direct filter design; LPV systems; Set Membership estimation

Indexed keywords

ESTIMATION ERRORS; ESTIMATION OF VEHICLES; FILTER DESIGNS; LPV SYSTEMS; MODEL IDENTIFICATION; MODELING ERRORS; NEW APPROACHES; OPEN PROBLEMS; OPTIMAL FILTER; REAL-WORLD APPLICATION; SAFETY CONTROL SYSTEMS; SET MEMBERSHIP; SET-MEMBERSHIP ESTIMATION; TWO-STEP PROCEDURE; VEHICLE STABILITY; YAW RATE;

CONTROL SYSTEM STABILITY; ESTIMATION; FILTER BANKS; OPTIMIZATION;

DESIGN;

EID: 74449084906     PISSN: 01676911     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sysconle.2009.10.008     Document Type: Article

References (25)

1. Jazwinski A. Stochastic Processes and Filtering Theory (1970), Academic, New York
2. Maybeck P.S. Stochastic models, estimation, and control. Mathematics in Science and Engineering (1979), Academic Press
3. Anderson B., and Moore J. Optimal Filtering (1979), Prentice-Hall, Englewood Cliffs, NJ
4. ∞ setting. IEEE Transactions on Automatic Control 36 (1991) 152-166
5. Nagpal K., Abedor J., and Poolla K. A linear matrix inequality approach to peak-to-peak gain minimization. IEEE Transactions on Automatic Control 41 1 (1996) 43-48
6. ∞ filtering. Automatica 31 3 (1995) 489-495
7. M. Milanese, C. Novara, K. Hsu, K. Poolla, Filter design from data: direct vs. two-step approaches, in: American Control Conference, Minneapolis, MN, USA, 2006
8. C. Novara, F. Ruiz, M. Milanese, Direct design of optimal filters from data, in: 17th IFAC World Congress, Seoul, Korea, 2008
9. C. Novara, F. Ruiz, M. Milanese, A new approach to optimal filter design for nonlinear systems, in: 48th IEEE Conference on Decision and Control and European Control Conference, Shanghai, China, 2009
10. Milanese M., Novara C., Hsu K., and Poolla K. The filter design from data (FD2) problem: Nonlinear Set Membership approach. Automatica 45 10 (2009)
11. M. Milanese, D. Regruto, A. Fortina, Direct virtual sensor (DVS) design in vehicle sideslip angle estimation, in: American Control Conference, New York City, USA, 2007
12. P. Borodani, Virtual sensors: An original approach for dynamic variables estimation in automotive control systems, in: Proc. of the 9th International Symposium on Advanced Vehicle Control, AVEC, Kobe, Japan, 2008
13. A. Zanten, R. Erhardt, G. Pfaff, Vdc, the vehicle dynamics control system of Bosch, SAE Technical Paper 950759, 1995
14. Rugh W.J. Linear System Theory (1996), Prentice Hall
15. Boyd S., and Vandenberghe L. Convex Optimization (2004), Cambridge University Press
16. Milanese M., and Novara C. Set membership identification of nonlinear systems. Automatica 40 6 (2004) 957-975
17. Bamieh B., and Giarré L. Identification of linear parameter varying models. International Journal of Robust and Nonlinear Control 12 9 (2002) 841-853
18. Tóth R., Heuberger P., and Van den Hof P. Asymptotically optimal orthonormal basis functions for lpv system identification. Automatica 45 6 (2009) 1359-1370
19. Hertz J., Krogh A., and Palmer G. Introduction to the Theory of Neural Computation (1991), Addison-Wesley, Reading, MA Santa Fe Institute Studies in the Sciences of Complexity
20. Barron A.R. Universal approximation bounds for superposition of a sigmoidal function. IEEE Transaction on Information Theory 39 (1993) 930-945
21. G. Zhenhai, Soft sensor application in vehicle yaw rate measurement based on kalman filter and vehicle dynamics, in: 6th IEEE Intelligent Transportation Systems Conference, Shanghai, China, 2003, pp. 1352-1354
22. W. Chee, Yaw rate estimation using two 1-axis accelerometers, in: American Control Conference, Portland, USA, 2005, pp. 423-428
23. Stephant J., Charara A., and Meizel D. Virtual sensor: Application to vehicle sideslip angle and transversal forces. IEEE Transactions on Industrial Electronics 51 2 (2004) 278-289
24. Rajamani R. Vehicle Dynamics and Control (2006), Springer
25. Canale M., Fagiano L., Milanese M., and Borodani P. Robust vehicle yaw control using an active differential and imc techniques. Control Engineering Practice 15 8 (2007) 923-941