5e18438b26ad8.pdf
DOI:
Mavjud emas
1. Afanasyev V.N. Manage undefined dynamic objects. - M.: Fizmatlit, 2008. - 208 p. 2. Nikiforov V.O., Ushakov A.V. Management in conditions of uncertainty: sensitivity, adaptation, robustness. - SPb: SPb HITMO, 2002. -232p. 3. Igamberdiev H.Z., Yusupbekov A.N., Zaripov O.O. Regular methods of estimating and managing dynamic objects in conditions of uncertainty. - T.: Tashkent State Technical University, 2012. -320 p. 4. Pankov A.R., Semenikhin K.V. Minimax Identification of Uncertainly Stochastic Linear Model // A and T. 1998. №11. -C. 158-171. 5. Kurzhansky A.B., Identification Problem: Theory of Guarantee Estimates (Review) // A and T. 1991. № 4. C. 3-26. 6. Lidov M.L., Bakhshiyan B.Ts., Matasov A.I. On One Direction in the Problem of Guaranteeing Assessment (Review), Space Research. 1991. T. 29. №5. -C. 659– 684. 7. Tikhonov A.N., Arsenin V.Y. Methods of solving incorrect problems., -M.: Nauka, 1986. –288 p. 8. Morozov V.A. Methods for solving incorrectly posed problems. – Springer Science & Business Media, 2012. 9. Householder A.S. The theory of matrices in numerical analysis. – Courier Corporation, 2013. 10. MacDuffee C.C. The theory of matrices. – Courier Corporation, 2004. 11. Sysoev L.P. Estimating matrixes of parameters and covariances of perturbation vectors in multidimensional dynamical systems with discrete time with a special structure of unknown covariance matrices // A and T. 2010. №2, 2010. –C. 192-206. 12. Verzhbitsky V.M. Computational linear algebra. –M.: Higher. school, 2009. –351 p. 13. Gantmakher F. R. The theory of matrices. – American Mathematical Soc., 2000. – Т. 131. 14. Vasin V.V., Ageev A.L. Invalid problems with a priori information. Ekaterinburg, Science, 1993. 15. Zhdanov A.I. Introduction to methods for solving illposed problems: –Ed. Samara State. Aerospace University, 2006. –87 p. 16. Golub, Gene H., and Charles F. Van Loan. Matrix computations. Vol. 3. JHU Press, 2012. 17. Verlan A. F., Sizikov V. S. Integral equations: methods, algorithms, programs //Naukova Dumka, Kiev. – 1986. – Т. 543. Pankov A.R., Semenikhin K.V. Methods of parametric identification of multidimensional linear models under conditions of a priori uncertainty // Avtomat. and Telemekh., 2000. № 5. -С.76–92.