Optimal discrete algorithms for functional diagnosing of the technical state of dynamical systems

Identification and adaptive estimation methods solve the problem of functional diagnosing of dynamic system state. Assuming that the statistical dynamics of the systems is described by a conditionally Gaussian vectorial Markov sequence, the decomposition theorem leads to optimal algorithms of functional diagnosis with an arbitrary dependence of the Markov sequence characteristics on the vector of parameters to be identified. An example is provided.