ALGORITHM FOR STABILIZING THE REFERENCE TRAJECTORY OF SELFTUNING SYSTEMS WITH A REFERENCE MODEL

1. Sastry, S., & Bodson, M. Adaptive control: Stability, convergence and robustness. Prentice Hall, Englewood Cliffs, NJ, USA, 1989. URL: https://flyingv.ucsd.edu/krstic/teaching/282/sastry_bods on_adaptive_control.pdf 2. Utkin, V. I. Sliding modes in control and optimization. Springer-Verlag, Berlin–Heidelberg, Germany, 1992. DOI: https://doi.org/10.1007/978-3- 642-84379-2 3. Siddikov, I., Khalmatov, D., Alimova, G., Khujanazarov, U., Sadikova, F., & Usanov, M. Investigation of auto-oscillational regimes of the system by dynamic nonlinearities // International Journal of Electrical and Computer Engineering, 2024, Vol. 14, No. 1, pp. 230–238. DOI: https://doi.org/10.11591/ijece.v14i1.pp230-238

4. Астахов, А. В., & Цыкунов, А. М. Адаптивные системы управления с эталонной моделью. Москва: Наука, 1987. URL: https://elibrary.ru/item.asp?id=32456747 5. Khalil, H. K. Nonlinear systems. Prentice Hall, Upper Saddle River, NJ, USA, 2002. URL: https://users.ece.msu.edu/users/khalil/NonlinearSystems .pdf 6. Ioannou, P. A., & Sun, J. Robust adaptive control. Prentice Hall, Upper Saddle River, NJ, USA, 1996. URL: https://flyingv.ucsd.edu/krstic/teaching/282/ioannousun. pdf

7. Narendra, K. S., & Annaswamy, A. M. Stable adaptive systems. Prentice Hall, Englewood Cliffs, NJ, USA, 1989. URL: https://web.mit.edu/6.245/www/Adaptive_Control.pdf 8. Pontryagin, L. S., Boltyanskii, V. G., Gamkrelidze, R. V., & Mishchenko, E. F. The mathematical theory of optimal processes. Pergamon Press, Oxford, UK, 1962. URL: https://www.mathnet.ru/eng/mmmp66 9. Fradkov, A. L. Cybernetical physics: From control of chaos to quantum control. Springer, Berlin– Heidelberg, Germany, 2007. DOI: https://doi.org/10.1007/978-3-540-72722-7

1. Sastry, S., & Bodson, M. Adaptive control: Stability, convergence and robustness. Prentice Hall, Englewood Cliffs, NJ, USA, 1989. URL: https://flyingv.ucsd.edu/krstic/teaching/282/sastry_bods on_adaptive_control.pdf 2. Utkin, V. I. Sliding modes in control and optimization. Springer-Verlag, Berlin–Heidelberg, Germany, 1992. DOI: https://doi.org/10.1007/978-3- 642-84379-2 3. Siddikov, I., Khalmatov, D., Alimova, G., Khujanazarov, U., Sadikova, F., & Usanov, M. Investigation of auto-oscillational regimes of the system by dynamic nonlinearities // International Journal of Electrical and Computer Engineering, 2024, Vol. 14, No. 1, pp. 230–238. DOI: https://doi.org/10.11591/ijece.v14i1.pp230-238

4. Астахов, А. В., & Цыкунов, А. М. Адаптивные системы управления с эталонной моделью. Москва: Наука, 1987. URL: https://elibrary.ru/item.asp?id=32456747 5. Khalil, H. K. Nonlinear systems. Prentice Hall, Upper Saddle River, NJ, USA, 2002. URL: https://users.ece.msu.edu/users/khalil/NonlinearSystems .pdf 6. Ioannou, P. A., & Sun, J. Robust adaptive control. Prentice Hall, Upper Saddle River, NJ, USA, 1996. URL: https://flyingv.ucsd.edu/krstic/teaching/282/ioannousun. pdf

7. Narendra, K. S., & Annaswamy, A. M. Stable adaptive systems. Prentice Hall, Englewood Cliffs, NJ, USA, 1989. URL: https://web.mit.edu/6.245/www/Adaptive_Control.pdf 8. Pontryagin, L. S., Boltyanskii, V. G., Gamkrelidze, R. V., & Mishchenko, E. F. The mathematical theory of optimal processes. Pergamon Press, Oxford, UK, 1962. URL: https://www.mathnet.ru/eng/mmmp66 9. Fradkov, A. L. Cybernetical physics: From control of chaos to quantum control. Springer, Berlin– Heidelberg, Germany, 2007. DOI: https://doi.org/10.1007/978-3-540-72722-7