Methods for identifying fuzzy and stochastic systems

The monograph discusses fundamentally new approaches to the analysis of the Markov Stochastic processes (both continuous and discrete-intelligent), the synthesis of the algorithms of their optimal and suboptimal assessment, as well as to build methods of optimal management of their observations. New effective methods of solving the problem of parametric identification are described in detail in the most general case of its production for continuous and discrete stochastic, as well as fuzzy-strutic dynamic systems. For the first time, the task of structural identification of continuous and discrete stochastic multi -structural systems was theoretically strictly solved. The generalization of the proposed approach was considered in case of structural identification of fuzzy-strutic dynamic systems. Examples illustrate the effectiveness of the proposed methods are given.
The book is intended for specialists in the field of artificial intelligence, information processing in dynamic systems, optimal nonlinear filtering, identifying dynamic structures, automation and robotization of technological processes and industries