Laboratory for Digitalisation, Analysis and Synthesis of Complex Mechanical Systems, Networks and Environments

Scientific results:

1. Fundamentals and assessments of the limits of digital and intelligent control have been developed to improve the efficiency of vibration machines for various industries.
2. The fundamental principles and methodology for the analysis and synthesis of effective and strictly substantiated 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.
3. Control algorithms have been developed with significant incompleteness of information to perform maneuvers of various robotic systems. New methods have been developed for controlling a dynamically changing lifting aerodynamic surface of aircraft based on a multi-agent approach.
4. A 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 to increase the efficiency of noise-absorbing screens and suppress vibrations of extended structures. A method has been developed for the synthesis of nonlinear acoustic metamaterials with specified properties based on the theory of digital feedback control.
5. Algorithms have been developed that increase the accuracy and safety of the operation of energy and chemical engineering facilities, such as power machine complexes and distillation columns.
6. In 2023, at the IFAC World Congress in Yokohama (Japan), an award for the best publication in the IFAC Annual Reviews in Control journal in 2020-2022. received a joint work by A. Annaswamy (MIT, USA) and A. Fradkov (IPMash RAS): Anuradha M. Annaswamy and Alexander L. Fradkov. A Historical Perspective on Adaptive Control and Learning // Annual Reviews in Control, 52 (2021) 18–4.