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Robust Control of Object with Distributed Delay and Unknown Order of Mathematical Model

Abstract

The object which mathematical model is the vector equation with the distributed delay on a state vector investigated. It is supposed, that parameters and order of mathematical model are unknown. On object not measured limited disturbance operated. The problem of tracing a reference signal is formulated. To provide qualitative tracking a reference signal, it is necessary to compensate influence of not measured disturbance on the output variable. For the decision of this problem, the method of an auxiliary contour is used. This method has well proved at designing sensible control for systems without delay. In this paper, this method was used for systems with the distributed delay. The problem robust control of objects with the distributed delay on a state vector was solved. It is suppose, that parameters and order of mathematical model of object are unknown, and output variable are accessible to measurement only. As target conditions accuracy of tracking of a reference signal is accepted. The algorithm of the control was received allowing compensating aprioristic uncertainty and it is essential to reduce influence not measured the bounded external limited disturbance to output. The equations of the closed system are singular the system of equations. In this paper is prove, that the received algorithm of control provides performance of target conditions. Numerical examples and results of computer simulation, which have shown efficiency of the receive algorithm of tracking.

About the Author

A. M. Tsykunov
Astrakhan State Technical University
Russian Federation


References

1. Поляк Б. Т., Щербаков П. С. Робастная устойчивость и управление. М.: Наука, 2002.

2. Hassan L., Zemouche A., Boutayeb M. H¥ Unknown input observers design for a class of nonlinear time-delay systems // Preprints of 18th IFAC Word Congress. 2011. P. 3879-3884.

3. Karimi H. R. Robust adaptive H¥ synchronization of master-slave systems with discrete and distributed time-varying delays and nonlinear perturbations // Preprints of 18th IFAC Word Congress. 2011. P. 302-307.

4. Gao H., Lam J., Chen G. New criteria for synchronization stability of general complex dynamical networks with coupling delay // Physics letters. 2006. V. 360, N. 2. P. 263-273.

5. Ge S. S., Hong F., Lee Т. Н. Adaptive neural network control of nonlinear systems with unknown time delays // IEEE Trans. Automat. Contr. 2003. V. 48, N. 11. P. 2004-2010.

6. Gao H., Chen G., Lam J. A new delay systems approach to network-based control // Automatica. 2008. V. 44, N. 1. P. 39-52.

7. Nguang S. K. Robust stabilization of a class of time-delay nonlinear systems. // IEEE Trans. Automat. Contr. 2000. V. 45, N. 4. P. 756-762.

8. Han Q. L. Robust stability of uncertain delay-differential systems of neutral type // Automatica. 2002. V. 38, N. 4. P. 719-723.

9. Ivanescu D., Niculescu S. I., Dugard L., Dion J. M. Verriest E. I. On delay dependent stability of neutral systems // Automatica. 2003. V. 39, N. 2. P. 255-261.

10. Бобцов А. А. Стабилизация нелинейных систем по выходу в условиях запаздывания // Изв. РАН ТиСУ. 2005. № 3. С. 5-11.

11. Цыкунов А. М. Алгоритмы робастного управления с компенсацией ограниченных возмущений // А и Т. 2007. № 7. С. 103-115.

12. Цыкунов А. М. Робастное управление с компенсацией возмущений. М.: Физматлит. 2012.

13. Цыкунов А. М. Децентрализованное робастное управление многосвязными структурно неопределенными объектами // А и Т. № 12. 2010. С. 111-121.

14. Khalil H. К. Nonlinear systems. 2nd ed. N. Y.: Prentice-Hall, 1996.

15. Брусин В. А. Об одном классе сингулярно-возмущенных адаптивных систем // А и Т. 1995. № 4. С. 119-127.


Review

For citations:


Tsykunov A.M. Robust Control of Object with Distributed Delay and Unknown Order of Mathematical Model. Mekhatronika, Avtomatizatsiya, Upravlenie. 2016;17(4):219-227. (In Russ.)

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ISSN 1684-6427 (Print)
ISSN 2619-1253 (Online)