Adaptive fuzzy backstepping output feedback control of nonlinear uncertain systems with unknown virtual control coefficients using MT-filters

Neurocomputing

Volumn 74, Issue 10, 2011, Pages 1557-1563

  Li, Yongming ^a   Tong, Shaocheng ^a  

^a LIAONING UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Adaptive fuzzy control; Backstepping; MT filters; Output feedback; Stability analysis; Virtual control coefficients

Indexed keywords

ADAPTIVE FUZZY CONTROL; MT-FILTERS; OUTPUT FEEDBACK; STABILITY ANALYSIS; VIRTUAL CONTROL;

BACKSTEPPING; FEEDBACK CONTROL; FUZZY CONTROL; FUZZY FILTERS; FUZZY LOGIC; NONLINEAR FEEDBACK; UNCERTAIN SYSTEMS;

ADAPTIVE CONTROL SYSTEMS;

ANALYTICAL ERROR; ARTICLE; FEEDBACK SYSTEM; FUZZY LOGIC; FUZZY SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; NONLINEAR SYSTEM; PRIORITY JOURNAL;

EID: 79954425763     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2010.12.019     Document Type: Article

References (19)

1. Kristic M., Kanellakopoulos I., Kokotovic P.V. Nonlinear and Adaptive Control Design 1995, Wiley, New York.
2. Jiang Z.P. A combined backstepping and small-gain approach to adaptive output feedback control. Automatica 1999, 35(6):1131-1139.
3. Wang L.X. Adaptive Fuzzy Systems and Control 1994, Prentice-Hall, Englewood Cliffs, NJ.
4. Zhang H.G., Lun S.X., Liu D.R. Fuzzy H-infinity filter design for a class of nonlinear discrete-time systems with multiple time delay's. IEEE Transactions on Fuzzy Systems 2007, 15(3):453-469.
5. Zhang H.G., Quan Y.B. Modeling, identification, and control of a class of nonlinear systems. IEEE Transactions on Fuzzy Systems 2001, 9(2):349-354.
6. Wang.W.Y., Leu Y.G., Lee T.T. Output-feedback control of nonlinear systems using direct adaptive fuzzy-neural controller. Fuzzy Sets and Systems 2003, 140(2):341-358.
7. Boulkroune A., Tadjine M., Saad M.M., et al. How to design a fuzzy adaptive controller based on observers for uncertain affine nonlinear systems. Fuzzy Sets and Systems 2008, 159(8):926-948.
8. Chen B., Liu X.P. Adaptive fuzzy output tracking control of MIMO nonlinear uncertain systems. IEEE Transactions on Fuzzy Systems 2007, 15(2):287-300.
9. Li T.S., Tong S.C., Feng G. A novel robust adaptive fuzzy tracking control for a class of nonlinear multi-input multi-output systems. IEEE Transactions on Fuzzy Systems 2010, 18(1):150-160.
10. Zou A.M., Hou Z.G. Adaptive control of a class of nonlinear pure-feedback systems using fuzzy backstepping approach. IEEE Transactions on Fuzzy Systems 2008, 16(4):886-897.
11. Zhou S.S., Feng G., Feng C.B. Robust control for a class of uncertain nonlinear systems: adaptive fuzzy approach based on backstepping. Fuzzy Sets and Systems 2005, 151(1):1-20.
12. Tong S.C., Li Y.M. Direct adaptive fuzzy backstepping control for a class of nonlinear systems. International Journal of Innovative Computing Information and Control 2007, 3(4):887-896.
13. Tong S.C., He X.L., Zhang H.G. A combined backstepping and small-gain approach to robust adaptive fuzzy output feedback control. IEEE Transactions on Fuzzy Systems 2009, 17(5):1059-1069.
14. Tong S.C., Li Y.M. Observer-based fuzzy adaptive control for strict-feedback nonlinear systems. Fuzzy Sets and Systems 2009, 160(12):1749-1764.
15. Tong S.C., Li C.Y., Li Y.M. Fuzzy adaptive observer backstepping control for MIMO nonlinear systems. Fuzzy Sets and Systems 2009, 160(19):2755-2775.
16. Wang W.Y., Chan M.L., Lee T.T., Liu C.H. Recursive back-stepping design of an adaptive fuzzy controller for strick output feedback nonlinear systems. Asian Journal of Control 2002, 4(3):255-264.
17. Chen W.S., Zhang Z.Q. Globally stable adaptive backstepping fuzzy control for output-feedback systems with unknown high-frequency gain sign. Fuzzy Sets and Systems 2010, 161(6):821-836.
18. Ye X.D. Adaptive nonlinear output-feedback control with unknown high-frequency gain sign. IEEE Transactions on Automatic Control 2001, 46(1):112-115.
19. Ge S.S., Wang J. Robust adaptive neural control for a class of perturbed strict feedback nonlinear systems. IEEE Transactions on Neural Network 2002, 13(6):1409-1419.