Volodymyr Z. Automated management department defecation carbonation sugar factory on the basis of principles of nonlinear dynamics

In this thesis we propose a new approach to the improvement of automated control station defecation saturation, which is the organization of resource management strategies based on the developed synergetic models and algorithms. On the basis of system analysis, the expert survey and cognitive modeling complex cleaning offices juice sugar factory peculiarities of behavior. Developed complex models that reproduce the behavior of the control object in the form of invariant manifolds - attractors at various hierarchical levels of synergetic control. The proposed algorithms identify systemic variable in object management, to establish the type of object behavior by analyzing the time-series process variables using the theory of channels and jokers, analysis and classification of situations. The developed methods and algorithms for prediction of various depth forecast based on data mining and reconstruction of attractors. Algorithms synergetic control juice purification separation of a sugar factory on the basis of a comprehensive analysis of the experimental information and expertise based on attractiveness and situational behavior of the control object. Developed a functional structure and interface of the intellectual system synergetic control juice cleaning department of a sugar factory.