1. Carrol, R. L. An adaptive observer for single-input single-output linear systems / R. L. Carrol , D. P. Lindorff // IEEE Trans. Automat. Control. - 1973. - Vol. AC-18, No. 5. - Pp. 428-435.

2. Carrol, R. L. Model reference adap-tive control estimation and identification using only and output signals, / R. L. Carrol, R. V. Monopoli // Processings of IFAC 6th Word con-gress. - Boston, Cembridge, 1975. - Part 1. - Pp. 58.3/1-58.3/10.

3. Kreisselmeier, G. A robust indirect adaptive control approach / G.Kreisselmeier // Int. J. Control. - 1986. - Vol. 43, No. 1. - Pp. 161-175.

4. Kudva, P. Synthesis of a adaptive observer using Lyapunov direct method / P. Kudva, K.S. Narendra // Jnt. J. Control. - 1973. - Vol. 18, No.4. - Pp. 1201-1216.

5. Narendra, K.S. Stable adaptive schemes for system: identification and control / K.S. Narendra , B. Kudva // IEEE Trans. on Syst., Man and Cybern. - 1974. - Vol. SMC-4, No. 6. - Pp. 542-560.

6. Bastin, G. Stable adaptive observers for nonlinear time-varying systems / G. Bastin, R. Gevers // IEEE Transactions on automatic control. - 1988. - Vol. 33, No. 7. - Pp. 650-658.

7. Marino, R. Global adaptive observers for nonlinear systems via filteres transformations / R. Marino, P. Tomei // IEEE Transactions on Automatic Control. - 1992. - Vol. 37, No. 8. - Pp. 1239-1245.

8. Marino, R. Nonlinear control design: Geometric, Adaptive & Robust / R. Marino, P. Tomei. - London : Prentice Hall, 1995, - 396 p.

9. Krstić, M. Adaptive Nonlinear Out-put-Feedback Schemes with Marino-Tomei Controller / M. Krstić, P. V. Kokotović // IEEE Transactions on automatic control. -1996. - Vol. 41, No. 2. - Pp. 274-280.

10. Kahveci, N. E. Indirect Adaptive Control for Systems with Input Rate Saturation / N. E. Kahveci, P. A. Ioannou // 2008 American Control Conference, Westin Seattle Hotel, Seattle, Washington, USA June 11-13. - 2008. - Pp. 3396-3401.

11. Аnnaswamy, А. М. Stale adaptive systems in the presence of nonlinear parameterization / А.М. Аnnaswamy, А.-Р. Loh // In Adaptive Control Systems, Ed. G. Feng and R. Lozano. Newnes. - 1999. - Pp. 215-259.

12. Baang, D. Adaptive observer us-ing auto-generating B-splines / D. Baang, J. Stoev, J.Y. Choi // International Journal of Control, Automation, and Systems. - 2007. - Vol. 5, No. 5. - Pp. 479-491.

13. Garimella, P. Nonlinear adaptive robust observer design for a class of nonlinear systems / P. Garimella, B. Yao // Pro-ceedings of the American Control Conference Denver Colorado June 4-6 2003. - 2003. - Pp. 4391-4396.

14. Oucief, N. Adaptive observer-based fault estimation for a class of Lipschitz nonlinear systems / N. Oucief, M. Tadjine, S. Labiod // Archives of control sciences. - 2016. - Vol. 26(LXII), No. 2. - Pp. 245-259.

15. Besançon, G. An Overview on Observer Tools for Nonlinear Systems / G. Besançon // In Lecture Notes in Control and Information Sciences 363, Ed. M. Thoma, M. Morari. - Springer, 2007. - Pp. 10-42.

16. Boizot, N. Adaptive-Gain Observers and Applications / N. Boizot, E. Busvelle // In Lecture Notes in Control and In-formation Sciences 363, Ed. G. Besançon. - Springer, 2007. - Pp. 10-42.

17. Boizot, N. An adaptive high-gain observer for nonlinear systems / N. Boizot, E. Busvelle, J-P. Gauthier // Automatica. - 2010. - Vol. 46, Is. 9. - Pp. 1483-1488.

18. Hovakimyan, N. An adaptive observer design methodology for bounded nonlinear processes / N. Hovakimyan, A.J. Calise, V.K. Madyastha // In Proc. 41st IEEE Conference on Decision and Control, Las Vegas, NV , Dec. - 2002. - Pp. 4700-4705.

19. Narendra, K. S. Identification and control of dynamical systems using neural networks / K.S. Narendra, K. Parthasarathy // IEEE Transactions on Neural Networks. - 1990. - Vol. 1. - Pp. 4 27.

20. Zhu, J. LMI-based adaptive observers for nonlinear systems / J. Zhu, K. Khayati // International journal of mechanical engi-neering and mechatronics. - 2012. - Vol. 1, Is. 2. - Pp. 50-60.

21. Karabutov, N. Structural identification of dynamic systems with hysteresis / N. Karabutov // International Journal of Intelligent Systems and Applications. - 2016. - Vol. 8, No. 7. - Pp. 1-13.

22. Karabutov, N. Frameworks in problems of structural identification systems / N. Karabutov // International Journal of Intelligent Systems and Applications. - 2017. - Vol. 9, No. 1. - Pp. 1-19.

23. Карабутов, Н. Н. Структурная идентификация статических объектов: Поля, структуры, методы / Н. Н. Карабутов. - М. : Книжный дом «ЛИБРОКОМ», 2011. - 152 с.

24. Karabutov, N. Structural identification of nonlinear dynamic systems / N. Karabutov // International journal intelligent systems and applications. - 2015. - Vol. 7, No. 9. - Pp. 1-11.

25. Карабутов, Н. Н. Адаптивная идентифтикация систем: информационнай синтез / Н. Н. Карабутов. - Москва : URSS, 2016. - 384 с.

26. Karabutov, N. Structures, fields and methods of identifica-tion of nonlinear static systems in the conditions of uncer-tainty / N. Karabutov, // Intelligent Control and Automation. - 2010. - Vol.1, No.2. - Pp. 59-67.

27. Choquet, G. L'enseignement de la geometrie / G. Choquet. - Paris : Her-mann, 1964. - 168 p.

28. Karabutov, N. Structural identification of nonlinear static system on basis of analysis sector sets / N. Karabutov // International journal intelligent systems and applications. - 2013. - Vol. 6, No. 1. - Pp. 1-10.

29. Karabutov, N. Adaptive observers for linear time-varying dynamic objects with uncertainty estimation / N. Karabutov // International journal intelligent systems and applications. - 2017. - Vol. 9, No. 6. - Pp. 1-14.

30. Karabutov, N. Adaptive observers with uncertainty in loop tuning for linear time-varying dynamical systems / N. Karabutov // International journal intelligent systems and applications. - 2017. - Vol. 9, No. 4. - Pp. 1-13.

31. Барбашин, Е. А. Функции Ляпунова / Е.А.Барбашин. - М. : Наука, 1970. - 240 с.