Abstract
The output feedback stabilization is considered for a class of nonlinear time-delay systems with inverse dynamics in this paper. An appropriate state observer is constructed for the unmeasurable system states in order to realize the control objective. By adopting the backstepping and Lyapunov-Krasovskii functional methods, a systematic design procedure for a memoryless output feedback control law is presented. It is shown that the designed controller can make the closed-loop system globally asymptotically stable while keeping all signals bounded. An illustrative example is discussed to show the effectiveness of the proposed control strategy.
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References
V. Kolmanovskii, A. Myshkis. Introduction to the Theory and Applications of Functional Differential Equations, Dordrecht, Holland: Kluwer Academic, 1999.
J. K. Hale, S. M. V. Lunel. Introduction to Functional Differential Equation, Berlin, Germany: Springer, pp. 58–133, 1993.
P. Pepe, Z. P. Jiang. A Lyapunov-Krasovskii methodology for ISS and iISS of time-delay systems. Systems and Control Letters, vol. 55, no. 12, pp. 1006–1014, 2006.
Q. Zhu, D. G. Hu. Converse Lyapunov theorem of inputtostate stability for time-delay systems. Acta Automatica Sinica, vol. 36, no. 8, pp. 1131–1136, 2010.
C. C. Hua, X. P. Guan, P. Shi. Robust backstepping control for a class of time delayed systems. IEEE Transactions on Automatic Control, vol. 50, no. 6, pp. 894–899, 2005.
C. C. Hua, G. Feng, X. P. Guan. Robust controller design of a class of nonlinear time delay systems via backstepping method. Automatica, vol. 44, no. 2, pp. 567–573, 2008.
S. S. Ge, F. Hong, T. H. Lee. Adaptive neural network control of nonlinear systems with unknown time delays. IEEE Transactions on Automatic Control, vol. 48, no. 11, pp. 2004–2010, 2003.
D. W. C. Ho, J. M. Li, Y. G. Niu. Adaptive neural control for a class of nonlinearly parametric time-delay systems. IEEE Transactions on Neural Networks, vol. 16, no. 3, pp. 625–635, 2005.
X. F. Zhang, Z. L. Zhao. Output feedback stabilization of nonlinear systems with delays in the input. Applied Mathematics and Computation, vol. 167, no. 2, pp. 1026–1040, 2005.
S. J. Liu, S. S. Ge, J. F. Zhang. Adaptive output-feedback control for a class of uncertain stochastic non-linear systems with time delays. International Journal of Control, vol. 81, no. 8, pp. 1210–1220, 2008.
W. Guan. Adaptive output feedback control of a class of uncertain nonlinear systems with unknown time delays. International Journal of Systems Science, vol. 43, no. 4, pp. 682–690, 2012.
L. Liu, X. J. Xie. Output-feedback stabilization for stochastic high-order nonlinear systems with time-varying delay. Automatica, vol. 47, no. 12, pp. 2772–2779, 2011.
Y. M. Li, C. E. Ren, S. C. Tong. Adaptive fuzzy backstepping output feedback control of nonlinear uncertain timedelay systems based on high-gain filters. Nonlinear Dynamics, vol. 69, no. 3, pp. 781–792, 2012.
S. C. Tong, N. Sheng. Adaptive fuzzy observer backstepping control for a class of uncertain nonlinear systems with unknown time-delay. International Journal of Automation and Computing, vol. 7, no. 2, pp. 236–246, 2010.
B. Z. Du, J. Lam, Z. Shu. Stabilization for state/input delay systems via static and integral output feedback. Automatica, vol. 46, no. 12, pp. 2000–2007, 2010.
C. L. Liu, S. C. Tong, Y. M. Li, Y. Q. Xia. Adaptive fuzzy backstepping output feedback control of nonlinear time-delay systems with unknown high-frequency gain sign. International Journal of Automation and Computing, vol.8, no. 1, pp. 14–22, 2011.
C. C. Hua, X. P. Guan, P. Shi. Robust output feedback tracking control for time-delay nonlinear systems using neural network. IEEE Transactions on Neural Networks, vol. 18, no. 2, pp. 495–505, 2007.
H. K. Khalil. Nonlinear Systems, 3rd ed, New Jersey, USA: Prentice Hall, pp. 144–323, 2002.
N. Duan, X. Yu, X. J. Xie. Output feedback control using small-gain conditions for stochastic nonlinear systems with SiISS inverse dynamics. International Journal of Control, vol. 81, no. 1, pp. 47–56, 2011.
W. Lin, C. J. Qian. Adaptive control of nonlinearly parameterized systems: A nonsmooth feedback framework. IEEE Transactions on Automatic Control, vol. 47, no. 5, pp. 757–774, 2002.
J. Liu, X. Z. Liu, W. C. Xie. Input-to-state stability of impulsive and switching hybrid systems with time-delay. Automatica, vol. 47, no. 5, pp. 899–908, 2011.
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This work was supported by National Natural Science Foundation of China (No. 60974127) and Natural Science Foundation of Shandong Province of China (No. ZR2011FM033).
Zhong-Cai Zhang graduated from Ludong University, China in 2010. He is currently a master student at the Institute of Automation, Qufu Normal University, China.
His research interests include variable structure control and nonlinear system control.
Yu-Qiang Wu graduated from Qufu Normal University, China in 1985. He received the M. Sc. degree from Qufu Normal University in 1988 and the Ph.D. degree from Southeast University, China in 1994.
He is currently a professor in the Institute of Automation, Qufu Normal University. His research interests include variable structure control, switching control, nonlinear system control, and process control.
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Zhang, ZC., Wu, YQ. Globally asymptotic stabilization for nonlinear time-delay systems with ISS inverse dynamics. Int. J. Autom. Comput. 9, 634–640 (2012). https://doi.org/10.1007/s11633-012-0689-2
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DOI: https://doi.org/10.1007/s11633-012-0689-2