Simultaneous input and parameter estimation with input observers and set-membership parameter bounding: Theory and an automotive application

International Journal of Adaptive Control and Signal Processing

Volumn 20, Issue 5, 2006, Pages 225-246

  Kolmanovsky, I ^a,d   Sivergina, I ^b   Sun, J ^c  

^a FORD MOTOR COMPANY   (United States)

^b KETTERING UNIVERSITY   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

^d MD 2036 ^*  (United States)

Author keywords

Adaptive control; Engine control; Input observers; Set membership parameter estimation

Indexed keywords

ACOUSTIC NOISE; ALGORITHMS; COMPUTER SIMULATION; ERROR ANALYSIS; ONLINE SYSTEMS; PROBLEM SOLVING;

ENGINE CONTROL; INPUT OBSERVERS; SET-MEMBERSHIP PARAMETER ESTIMATION;

PARAMETER ESTIMATION;

EID: 33745363515     PISSN: 08906327     EISSN: 10991115     Source Type: Journal    
DOI: 10.1002/acs.899     Document Type: Article

References (19)

1. Belferte G, Tay TT. Two new algorithms for linear models with unknown but bounded measurement noise. IEEE Transactions on Automatic Control 1993; 38(8):1273-1279.
2. Kolmanovsky I, Siverguina I. Adaptive identification schemes in presence of bounded disturbances: an automotive case study. Proceedings of IEEE Conference on Decision and Control, Orlando, FL, 2001; 508-513.
3. Kolmanovsky I, Sivergina I, Sun J. Combined input and parameter estimation with input observers and set membership parameter bounding. Proceedings of IEEE Conference on Decision and Control, Atlantis, Paradise Island, Bahamas, 2004; 5192-5197.
4. Bartolini C, Ferrara A, Stotsky A. Robustness and performance of an indirect adaptive control scheme in presence of bounded disturbances. IEEE Transactions on Automatic Control 1999; 44{4):789-793.
5. Bertsekas DP, Rhodes IB. Recursive state estimation for a set-membership description of uncertainty. IEEE Transactions on Automatic Control 1971; 16(2):117-128.
6. Schweppe FC. Recursive state estimation: unknown but bounded errors and system inputs. IEEE Transactions on Automatic Control 1968; 13:22-28.
7. Schweppe FC. Uncertain Dynamic Systems. Prentice-Hall: Englewood Cliffs, NJ, U.S.A.
8. Bai EW, Huang YF. Variable gain parameter estimation algorithms for fast tracking and smooth steady-state. Automatica 2000; 36:1001-1008.
9. Basile G, Marro G. On the observability of linear, time-invariant systems with unknown inputs. Journal of Optimization Theory and Applications 1969; 3:410-415.
10. Sivergina IF. Invertibility and observability of evolution systems. Doklody Akademii Nauk 1996; 351:304-308 (in Russian).
11. de Mathelin M, Lozano R. Robust adaptive identification of slowly time-varying parameters with bounded disturbances. Automatica 1999; 35:1291-1305.
12. Vahidi A, Druzhinina M, Stefanopoulou A, Peng H. Simultaneous mass and time-varying grade estimation for heavy-duty vehicles. Proceedings of 2003 American Control Conference, Denver, CO, 2003; 4951-4956.
13. Stotsky A. Lyapunov design for convergence rate improvements in adaptive control. International Journal of Control 1993; 57(2):501-504.
14. Bai EW, Ye Y, Tempo R. Bounded error parameter estimation: a sequential analytic center approach. IEEE Transactions on Automatic Control 1999; 44(6): 1107-1117.
15. Fogel E, Huang F. On the value of information in system identification - bounded noise case. Automatica 1982; 18:229-238.
16. Chisci L, Garulli A, Zappa G. Recursive state bounding by parallelotopes. Automatica 1996; 32(7): 1049-1055.
17. Stotsky A, Kolmanovsky I. Application of input estimation techniques to charge estimation in automotive engines. IFAC Journal of Control Engineering Practice 2002; 10(12):1371-1383.
18. Kolmanovsky I, Sun J, Druzhinina M, van Nieuwstadt M. Charge control for direct injection engines with EGR. Proceedings of American Control Conference, Chicago, IL, 2000; 34-38.
19. Heywood JB. Internal Combustion Engine Fundamentals. McGraw-Hill, Inc., 1988.