The Laboratory of Self-organization System Modeling
Russian
e-mail: alxkrot@newman.bas-net.by
Tel.: +375(17) 284-20-86, 284-20-06
The laboratory of Self-organization System Modeling (LSSM) was created by Doctor of Engineering Sciences Alexander M. Krot on April 1, 1993 on the basis of a scientific group from the imitation modelling laboratory, who was engaged in the area of analysis and modelling of discrete dynamical systems. LSSM is a structural basic subdivision of the UIIP in the field of development and investigation of models of complex dynamic systems and self-organization processes.
By the Decree of the President of the Republic of Belarus from July 25, 2013 Doctor of Sciences, Professor Alexander M. Krot was appointed to the position of the First Deputy Chairman of the Higher Attestation Commission of the Republic of Belarus where he worked until July 25, 2016, while remaining the Head of the LSSM on a voluntary basis. In the connection with the necessity for development of information technology in the field of robotics the sector "Robotics" was created in the LSSM on November 18, 2013. The structure of the sector "Robotics" included 3 researchers from the LSSM with a specialized engineering education in the area of robotic systems. In December 2017 a group of co-workers from the sector "Robotics" has been separated into an independent laboratory of robotic systems.
During the period of its activity, LSSM has had from 7 to 14 persons. Now the LSSM has 8 researchers.
MAIN TASKS OF THE LABORATORY
The main scientific direction of the laboratory is the development and investigation of models of complex dynamical systems and processes (nonlinear dynamical systems with self-organization processes).
The implementation of this scientific direction leads to the solution of a number of basic tasks:
nvestigation of fundamental problems and development of theoretical bases of complex (self-organizing) systems;
development and research of the complex dynamics models obtained on the basis of mathematical and imitation modelling methods;
synthesis of new algorithms for nonlinear analysis and identification of states of complex dynamical systems;
creation and development of mathematical methods for modelling active media (in particular, aerohydrodynamic flows, charged particle flows in electromagnetic fields, impulse propagation on the nervous fibres, etc.) to study the general regularities origin, formation and evolution in them of self-organization structures;
development of the effective algorithms for modelling complex dynamics, dynamic objects in machine building, physics, chemistry, medicine, biology and ecology.
Within the framework of these tasks, the following applied research is carried out:
creation of computer technologies for modelling complex dynamical systems using modern software packages;
development and application of computer technologies for numerical modelling and virtual analysis of aerohydrodynamic and electrodynamic processes in the setting parts of real and designing engineering constructions;
esign of the software tools for computer modelling, digital processing and recognition of complex chaotic signals of various physical nature.
