Laboratory for Digitalization, Analysis, and Synthesis of Complex Mechanical Systems, Networks, and Environments
Development of algorithms and digital control systems for robotics, aerospace missions, vibration equipment, and extended mechanical structures.
Organization type: Laboratory
Field of science: Mechanics and mechanical engineering
The mega-grant research topic is the theoretical foundations of digitalization for the analysis and synthesis of complex mechanical systems, networks, and environments.
Digitalization is the implementation of digital technologies in various fields of science, engineering, and production, which has recently become relevant due to the ubiquitous use of computer technology. The proposed project is dedicated to developing digitalization methods for the analysis and synthesis of complex mechanical systems with applications in the design of mechanical engineering objects: advanced vibration, power, and chemical equipment, robotic complexes, and aircraft. The project is based on methods proposed in 2001–2010 in a series of six works by the leading scientist, Professor of Tel Aviv University Emilia Fridman, which allow for increasing the accuracy, safety, and efficiency of digitalized systems and assessing the ultimate limits of digitalization. E. Fridman's results are used in many countries: each of her foundational works has more than 700 citations, and her H-index reaches 60. The IPME RAS team has experience collaborating with E. Fridman in 2011–2018 within the framework of the Federal Target Program "Personnel" and the Russian Science Foundation projects. In the newly established laboratory, the results of E. Fridman's school and the team's results will be applied to control problems in mechanics and mechanical engineering to improve the stability, safety, and quality of systems and reduce operating costs.
In 2021, the Laboratory for Digitalization, Analysis, and Synthesis of Complex Mechanical Systems, Networks, and Environments (CAS) was established at the IPME RAS under the leadership of E. Fridman. The project management also includes the Deputy Head of the CAS Laboratory, Corresponding Member of the RAS, Doctor of Physical and Mathematical Sciences A.K. Belyaev, and lead researchers Doctor of Technical Sciences A.L. Fradkov and Doctor of Technical Sciences I.B. Furtat.
Area 1 (led by B.R. Andrievsky, A.L. Fradkov)
Digital intelligent control of multi-rotor vibration units.
Objectives: development of fundamental principles and assessment of the ultimate capabilities of digital and adaptive (intelligent) control to improve the efficiency of vibration machinery.
Area 2 (led by A.S. Matveev)
Autonomous navigation and control of multi-agent robotic and mechatronic complexes.
Objectives: development of a methodology for the analysis and synthesis of effective and strictly substantiated algorithms for decentralized autonomous navigation of multi-agent robotic complexes under conditions of irregular or sparse information exchange.
Area 3 (led by B.R. Andrievsky, O.N. Granichin)
Adaptive control and estimation for aircraft under conditions of significant delays and communication channel constraints.
Objectives: development of control algorithms under conditions of substantial information incompleteness for performing maneuvers of modern aerospace systems.
Area 4 (led by A.K. Belyaev, A.V. Porubov, B.R. Andrievsky, Yu.V. Orlov)
Development of digital control methods for nonlinear spatially distributed systems and the strength properties of nonlinear acoustic metamaterials.
Objectives: creation of a series of digital algorithms for the suppression and excitation of specified vibration modes in extended mechanical objects to solve applied problems, including increasing the efficiency of noise-absorbing screens and suppressing vibrations in extended structures (bridges, cranes, etc.); synthesis of nonlinear acoustic metamaterials with specified properties based on digital control.
Area 5 (led by I.B. Furtat)
Development of new methods and algorithms for digital adaptive control of continuous distributed systems under conditions of significant disturbances.
Objectives: improving the accuracy and operational safety of power and chemical engineering facilities, such as power machine complexes and distillation columns.
Expected results: Methods and algorithms for digital adaptive control of distributed systems under conditions of parameter uncertainty, significant disturbances, and delays in digital communication channels. Methods and algorithms for adaptive forecasting of controlled variable values under conditions of large delays in channels. Optimal calculation of controller parameters to minimize energy consumption and deviation from the set mode in power machinery and distillation columns.
Digitalization is the implementation of digital technologies in various fields of science, engineering, and production, which has recently become relevant due to the ubiquitous use of computer technology. The proposed project is dedicated to developing digitalization methods for the analysis and synthesis of complex mechanical systems with applications in the design of mechanical engineering objects: advanced vibration, power, and chemical equipment, robotic complexes, and aircraft. The project is based on methods proposed in 2001–2010 in a series of six works by the leading scientist, Professor of Tel Aviv University Emilia Fridman, which allow for increasing the accuracy, safety, and efficiency of digitalized systems and assessing the ultimate limits of digitalization. E. Fridman's results are used in many countries: each of her foundational works has more than 700 citations, and her H-index reaches 60. The IPME RAS team has experience collaborating with E. Fridman in 2011–2018 within the framework of the Federal Target Program "Personnel" and the Russian Science Foundation projects. In the newly established laboratory, the results of E. Fridman's school and the team's results will be applied to control problems in mechanics and mechanical engineering to improve the stability, safety, and quality of systems and reduce operating costs.
In 2021, the Laboratory for Digitalization, Analysis, and Synthesis of Complex Mechanical Systems, Networks, and Environments (CAS) was established at the IPME RAS under the leadership of E. Fridman. The project management also includes the Deputy Head of the CAS Laboratory, Corresponding Member of the RAS, Doctor of Physical and Mathematical Sciences A.K. Belyaev, and lead researchers Doctor of Technical Sciences A.L. Fradkov and Doctor of Technical Sciences I.B. Furtat.
Main research areas
Area 1 (led by B.R. Andrievsky, A.L. Fradkov)
Digital intelligent control of multi-rotor vibration units.
Objectives: development of fundamental principles and assessment of the ultimate capabilities of digital and adaptive (intelligent) control to improve the efficiency of vibration machinery.
Area 2 (led by A.S. Matveev)
Autonomous navigation and control of multi-agent robotic and mechatronic complexes.
Objectives: development of a methodology for the analysis and synthesis of effective and strictly substantiated algorithms for decentralized autonomous navigation of multi-agent robotic complexes under conditions of irregular or sparse information exchange.
Area 3 (led by B.R. Andrievsky, O.N. Granichin)
Adaptive control and estimation for aircraft under conditions of significant delays and communication channel constraints.
Objectives: development of control algorithms under conditions of substantial information incompleteness for performing maneuvers of modern aerospace systems.
Area 4 (led by A.K. Belyaev, A.V. Porubov, B.R. Andrievsky, Yu.V. Orlov)
Development of digital control methods for nonlinear spatially distributed systems and the strength properties of nonlinear acoustic metamaterials.
Objectives: creation of a series of digital algorithms for the suppression and excitation of specified vibration modes in extended mechanical objects to solve applied problems, including increasing the efficiency of noise-absorbing screens and suppressing vibrations in extended structures (bridges, cranes, etc.); synthesis of nonlinear acoustic metamaterials with specified properties based on digital control.
Area 5 (led by I.B. Furtat)
Development of new methods and algorithms for digital adaptive control of continuous distributed systems under conditions of significant disturbances.
Objectives: improving the accuracy and operational safety of power and chemical engineering facilities, such as power machine complexes and distillation columns.
Expected results: Methods and algorithms for digital adaptive control of distributed systems under conditions of parameter uncertainty, significant disturbances, and delays in digital communication channels. Methods and algorithms for adaptive forecasting of controlled variable values under conditions of large delays in channels. Optimal calculation of controller parameters to minimize energy consumption and deviation from the set mode in power machinery and distillation columns.
Website: https://labcas.evarist.ru/
Contact person: Emilia Fridman, Prof. Tel Aviv University, Head of Laboratory
Address: 61 Bolshoy Prospekt, Vasilyevsky Island
Contact person: Emilia Fridman, Prof. Tel Aviv University, Head of Laboratory
Address: 61 Bolshoy Prospekt, Vasilyevsky Island
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