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Sustainable Algorithms for Assessing the Condition of Objects Based on the Kinematic Model

H. Z. Igamberdievdepartment “Information Processing Systems and Management”, Tashkent State Technical University, Tashkent, UzbekistanYulduz Abdurakhmanovadepartment “Algorithmization and Mathematical Modeling”, Tashkent University of Information Technologies, Tashkent, Uzbekistan
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The stable algorithms for estimating the state of objects in the kinematic formulation based on the concepts of the principle of iterative regularization are given. To solve the problem under consideration, an iterated version of the regularization method is used. A.N.Tikhonov. It is shown that the regularization parameter in the problem in question is advisable to determine on the basis of a posteriori methods. Using the obtained results allows you to synthesize robust algorithms for processing measurements without using information about the dynamics of an object and adaptively choose one or another mathematical tool depending on the degree of a priori information about the object, which is especially important when synthesizing information collection and processing systems.

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