Sustainable algorithms for dynamic filtering, taking into account the inertia of the measuring device

The problems of forming and building a stable filtering algorithms based on inertial measurement unit based on dynamic filter of Kalman type. The various filtering algorithms for dynamic analysis in terms of their computational stability. Televisions regularization procedure of filtering solutions of the equation on the basis of the regularization method and singular value decomposition. The proposed algorithm can improve the computational stability of dynamic filtering algorithms based on the inertia of the measuring device and can be used in information processing and measuring the results of observations systems.