Abstract
The development of formalized decomposition methods of the complex and multidimensional problems of optimal control which are used as a tool of decentralization, is highly relevant and meets the requirements and challenges of scientific and technological progress in the field of industrial production automation. The rapid development of technology of petrochemical, oil and gas industry due to ever-increasing volumes of world consumption of petroleum products and the requirements for their quality characteristics, leads to a high complexity profile of industrial production and their enrichment with innovative content. All this significantly complicates the solution of problems concerning optimal computer-aided control of technological processes and build effective control systems. Despite, all aspects of the above issues are up-to date. The purpose of the research is to develop an effective methodological framework for building decentralized process control system with increased capacity to adapt to possible changes in the control objects structural organization. The result of this research is the development of a theoretical framework and recommendations for implementing the concept of flexible, decentralized management on the basis of the method of situational decomposition when solving optimal control problems.