Self-Organization and Adaptation of Industrial Economic Systems in Dynamics of Its Entropy-Information Processes

The relevance of the research paper is stipulated by the growing dynamism of economic systems, the severity and turbulence of their environment that induce nonlinear processes with inherent features. Application of views and tools of nonlinear dynamics promotes better understanding of the role and nature of the impact of disturbances and entropy on the functioning and self-organization of economic systems. Nowadays the evolving economy is nonstationary by nature that is the reason of its disequilibrium and instability in disturbed environment. The theoretical issues of the mutual influence of entropy and information on the process of self-organization of industrial economic systems are considered. The nature and condition of self-organization in economic systems are identified from the standpoint of the entropic and information approaches. The influence of the information factor on the adaptation of the effect and stability of the activity of industrial enterprises in a non-stationary environment using V. Trapeznikov model, which formalizes the connection of indices of entropy, control information and the effect of functioning of the economic systems is discussed. In the future, due to the study of the dynamic properties of the functioning and self-organization of nonlinear industrial economic systems, it becomes possible to analyze the corresponding mathematical equations for the stability of the movements described by them.