The proposed project is aimed on research of progressive control methods  for complex systems with orientation at the complex systems with several degrees of freedom. In the area of design, the main aim will be the research of situational control methods with the use artificial intelligence (neural networks, fuzzy inference systems, expert systems).

The particular methodological contribution of the project will be the expected integration of the proposed control algorithms with modern approaches in modeling of complex systems, intelligent diagnostics and digital measurement - action elements. The proposed methods and their generalization will be tested in laboratory conditions in the area of aircraft turbo-compressor engines on the particular object of a small turbojet engine MPM-20.