Adaptive output feedback control of systems preceded by the preisach-type hysteresis

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 35, Issue 1, 2005, Pages 130-135

  Li, Chun Tao ^a   Tan, Yong Hong ^b  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b GUILIN UNIVERSITY OF ELECTRONIC TECHNOLOGY   (China)

Author keywords

Adaptive control; Hysteresis; Neural network (NN); Output feedback; Preisach model

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; CLOSED LOOP CONTROL SYSTEMS; COMPUTER SIMULATION; CONTROL SYSTEM SYNTHESIS; EIGENVALUES AND EIGENFUNCTIONS; HYSTERESIS; LYAPUNOV METHODS; MATHEMATICAL MODELS; NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; SYSTEM STABILITY; THEOREM PROVING;

OUTPUT FEEDBACK; PREISACH MODEL; SINGLE INPUT SINGLE OUTPUT SYSTEMS;

FEEDBACK CONTROL;

ALGORITHM; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FEEDBACK SYSTEM; LETTER; NONLINEAR SYSTEM; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FEEDBACK; MODELS, THEORETICAL; NONLINEAR DYNAMICS;

EID: 13644258082     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2004.839252     Document Type: Article

References (19)

1. C.-L. Hwang, C. Jan, and Y.-H. Chen, "Piezomechanics using intelligent variable-structure control," IEEE Trans. Ind. Electron., vol. 48, no. 1, pp. 47-59, Feb. 2001.
2. G. Tao and P. V. Kokotovic', "Adaptive control of plant with unknown hysteresis," IEEE Trans. Autom. Control, vol. 40, no. 2, pp. 200-213, Feb. 1995.
3. C.-Y. Su, Y. Tan, and Y. Stepanenko, "Adaptive control of a class of nonlinear systerms preceded by an unknown backlash-like hysteresis," in Proc. 39th IEEE Conf. Decsion Control, Sydney,-Australia, Dec. 2000, pp. 1459-1464.
4. P. Ge and M. Jouaneh, "Tracking control of a Piezoceramic actuator," IEEE Trans. Conte Syst. Technol., vol. 4, no. 3, pp. 209-216, May 1996.
5. F. L. Lewis, A. Yesildirek, and K. Liu, "Multilayer neural-net robot controller with guaranteed tracking performance," IEEE Trans. Neural Netw., vol. 7, no. 2, pp. 388-399, Mar. 1996.
6. R. R. Selmic and F. L. Lewis, "Neural net backlash compensation with Hebbian tuning using dynamic inversion," Automatica, vol. 37, pp. 1269-1277, 2001.
7. N. Hovakimyan et al., "Adaptive output feedback control of uncertain nonlinear systems using single-hidden-layer neural networks," IEEE Trans. Neural Netw., vol. 13, no. 6, pp. 1420-1431, Nov. 2002.
8. B. S. Kim and A. J. Calise, "Nonlinear flight control using neural netwirks," J. Guid. Control Dyn., vol. 20, no. 1, pp. 26-33, Jan./ Feb. 1997.
9. J. Leitner, A. Calise, and J. V. R. Prasad, "Analysis of adaptive neural networks for helicopter flight control," J. Guid. Control Dyn., vol. 20, no. 5, pp. 973-979, Sep./Oct. 1997.
10. M. M. Polycarpou, "Stable adaptive neural control scheme for nonlinear systems," IEEE Trans. Autom. Control, vol. 41, no. 3, pp. 447-451, Mar. 1996.
11. I. D. Mayergoz and G. Friedman, Mathematical Models of Hysteresis. New York: Springer-Verlag, 1991.
12. S. S. Ge et al., "Adaptive neural network control of nonlinear systems by state and output feedback," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 29, no. 6, pp. 818-828, Dec. 1999.
13. S. Behatsh, "Robust output, tracking for nonlinear systems," Int. J. Contr., vol. 51, no. 6, pp. 1381-1407, 1990.
14. G. Webb, A. Kurdila, and D. Lagoudas, "Adaptive hysteresis model for model reference control with actuator hysteresis," J. Guid., Control, Dyn., vol. 23, no. 3, pp. 459-465, May/Jun. 2000.
15. A. Barron, "Universal approximation bounds for superposition of a sigmoidal function," IEEE Trans. Inf. Theory, vol. 39, no. 3, pp. 930-945, May 1993.
16. A. J. Calise, H. Naira, and I. Moshe, "Adaptive output feedback control of nonlinear systems using neural networks," Automatica, vol. 37, pp. 1201-1211, 2001.
17. C.-L. Hwang and C. Jan, "A reinforcement discrete neuro-adaptive control for unkown Piezoelectric actuator systems with dominant hysteresis," IEEE Trans. Neural Netw., vol. 14, no. 1, Jan. 2003.
18. J.-D. Wei and C.-T. Sun, "Construting hysteresis memory in neural networks," IEEE Trans. Syst., Man, Cybern. B: Cybern., vol. 30, no. 4, pp. 601-608, Aug. 2000.
19. L. Chuntao and T. Yonghong, "A neural networks model for hysteresis nonlinearity," Sens. Actuators: A. Phys., vol. 112, no. 1, pp. 49-54, 2004.