Recurrent wavelet neural backstepping controller design with a smooth compensator

Neural Computing and Applications

Volumn 19, Issue 7, 2010, Pages 1089-1100

  Chen, Chiu Hsiung ^a   Hsu, Chun Fei ^b  

^a CHINA UNIVERSITY OF TECHNOLOGY   (Taiwan)

^b CHUNG HUA UNIVERSITY   (Taiwan)

Author keywords

Adaptive control; Backstepping control; Lyapunov stability theorem; Mechanical systems; Smooth compensator; Wavelet neural network

Indexed keywords

ADAPTIVE CONTROL; BACKSTEPPING CONTROL; LYAPUNOV STABILITY THEOREM; MECHANICAL SYSTEMS; SMOOTH COMPENSATOR; WAVELET NEURAL NETWORK;

ASYMPTOTIC STABILITY; BACKSTEPPING; CONTROL SYSTEM STABILITY; CONTROL THEORY; CONTROLLERS; DYNAMIC RESPONSE; MECHANICAL ENGINEERING; MECHANICS; MIMO SYSTEMS; NEURAL NETWORKS; PENDULUMS; SYSTEM STABILITY;

ADAPTIVE CONTROL SYSTEMS;

EID: 77956870187     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-010-0347-y     Document Type: Article

References (25)

1. Lin CM, Hsu CF (2003) Neural network hybrid control for antilock braking systems. IEEE Trans Neural Netw 14(2): 351-359.
2. Park JH, Huh SH, Kim SH, Seo SJ, Park GT (2005) Direct adaptive controller for nonaffine nonlinear systems using self-structuring neural networks. IEEE Trans Neural Netw 16(2): 414-422.
3. Hsu CF (2007) Self-organizing adaptive fuzzy neural control for a class of nonlinear systems. IEEE Trans Neural Netw 18(4): 1232-1241.
4. Da F (2007) Fuzzy neural network sliding mode control for long delay time systems based on fuzzy prediction. Neural Comput Appl 17(5): 531-539.
5. Wang Z, Zhang Y, Fang H (2008) Neural adaptive control for a class of nonlinear systems with unknown deadzone. Neural Comput Appl 17(4): 339-345.
6. Lin CM, Hsu CF (2004) Supervisory recurrent fuzzy neural network control of wing rock for slender delta wings. IEEE Trans Fuzzy Syst 12(5): 733-742.
7. Zhai JY, Fei SM, Mo XH (2008) Multiple models switching control based on recurrent neural networks. Neural Comput Appl 17(4): 365-371.
8. Hsu CF (2009) Adaptive recurrent neural network control using a structure adaptation algorithm. Neural Comput Appl 18(2): 115-125.
9. Hsu CF (2009) Intelligent position tracking control for LCM drive using stable online self-constructing recurrent neural network controller with bound architecture. Control Engineering Practice 17(6): 714-722.
10. Zhang Q (1997) Using wavelet network in nonparametric estimation. IEEE Trans Neural Netw 8(2): 227-236.
11. Wai RJ (2002) Development of new training algorithms for neuro-wavelet systems on the robust control of induction servo motor drive. IEEE Trans Ind Electron 49(6): 1323-1341.
12. Hsu CF, Lin CM, Lee TT (2006) Wavelet adaptive backstepping control for a class of nonlinear systems. IEEE Trans Neural Netw 17(5): 1175-1183.
13. Hsu CF, Cheng KH, Lee TT (2009) Robust wavelet-based adaptive neural controller design with a fuzzy compensator. Neurocomputing 73(1): 423-431.
14. Zhang T, Ge SS, Hang CC (2000) Adaptive neural network control for strict-feedback nonlinear systems using backstepping design. Automatica 36(12): 1835-1846.
15. Hsu CF, Lin CM (2005) Fuzzy-identification-based adaptive controller design via backstepping approach. Fuzzy Syst 151(1): 43-57.
16. Chen PC, Hsu CF, Lee TT, Wang CH (2009) Fuzzy-identification-based adaptive backstepping control using a self-organizing fuzzy system. Soft Comput 13(7): 635-647.
17. Lin CM, Hsu CF (2002) Neural-network-based adaptive control for induction servomotor drive system. IEEE Trans Ind Electron 49(1): 115-123.
18. ∞ control for a class of uncertain nonlinear time-varying systems and its application. IEE Proc Control Theory Appl 151(5): 601-609.
19. Chang YC, Yen HM (2005) Adaptive output feedback tracking control for a class of uncertain nonlinear systems using neural networks. IEEE Trans Syst Man Cybern B Cybern 35(6): 1311-1316.
20. Salim L, Mohamed SB, Thierry MG (2005) Adaptive fuzzy control of a class of MIMO nonlinear systems. Fuzzy Sets and Syst 151(1): 59-77.
21. Tong S, Chen B, Wang Y (2005) Fuzzy adaptive output feedback control for MIMO nonlinear systems. Fuzzy Sets and Syst 156(2): 285-299.
22. Slotine JJE, Li WP (1991) Applied nonlinear control. Prentice-Hall, Englewood Cliffs.
23. Wang LX (1994) Adaptive fuzzy systems and control: design and stability analysis. Prentice-Hall, Englewood Cliffs.
24. Lin CM, Chen LY, Chen CH (2007) RCMAC hybrid control for MIMO uncertain nonlinear systems using sliding-mode technology. IEEE Trans Neural Netw 18(3): 708-720.
25. Zhou S, Feng G, Feng CB (2005) Robust control for a class of uncertain nonlinear systems: adaptive fuzzy approach based on backstepping. Fuzzy Sets Syst 151(1): 1-20.