Main results for 2021-2023, obtained with the support of the mega-grant:

• Fundamental principles and assessments of the ultimate capabilities of digital and intelligent control to improve the efficiency of vibration machines for various industries have been developed
• Fundamental principles and methodology for the analysis and synthesis of efficient and strictly justified real-time algorithms for decentralized autonomous navigation and cooperation of multi-agent robotic and mechatronic complexes in conditions of irregular or poor information exchange between its components have been developed
• Control algorithms for significant incompleteness of information to perform maneuvers of various robotic systems.Developed new methods for controlling the dynamically changing bearing aerodynamic surface of aircraft based on a multi-agent approach have been synthesized
• Series of digital algorithms have been created that provide suppression and excitation of specified vibration modes in extended mechanical objects: beams, plates, shells to solve applied problems, in particular, to increase the efficiency of noise-absorbing screens, suppression of vibrations of extended structures. A method for synthesizing nonlinear acoustic metamaterials with specified properties based on the theory of digital feedback control has been developed
• Algorithms have been developed that improve the accuracy and safety of power and chemical engineering facilities such as power machine complexes and distillation columns

Main results for 2024:

• Algorithms for identifying parameters of neural mass models based on electroencephalogram data have been synthesized
• A definition of partial and complete desynchronization based on oscillation has been proposed. Sufficient desynchronization conditions for networks of nonlinear systems have been obtained