Biological Principles of Intellectual Motion Control: Models and Implementation Options

摘要

The article is devoted to the development of information processing models of the organization of human motion control in the central nervous system (CNS). The CNS function, providing control of mechanical movements, is one of the oldest and most important ones for the survival of individuals. The study of the transformation of this function in living systems from the simplest to the highest in the evolutionary process, as well as the comparative availability of experimental studies of the manifestation of this function in humans, make it possible to formulate the basic principles of intelligent information processing in the organization of motion. Examples of the implementation of the proposed principles in the study of the functioning of complex systems of different origin are given. The basis of the research and development of mathematical models is the theory of the levels of the Russian physiologist N.A. Bernstein, as well as his description of the main physiological information processes occurring in the human central nervous system in the organization of movement. The mechanisms of information processing at each level are described. A hierarchical description of a system for processing various types of information is presented. The variants of possible mathematical models of various levels of information processing are considered. The integration of these models in the process of motion control provides self-organization and adaptive properties for the given control objectives. The technical implementation of intelligent control of mechanical movements on the principles of biomechanics is one of the most popular applications in various fields. Examples of intelligent control systems implemented in the principles of bio-cybernetics are given.