Аbstract. The paper presents the methodology for selecting the most optimal alternative of an energyefficient control system for a complex process system. The proposed methodology is may help to solve structural synthesis problems. Designing a control system is a set of interrelated operations aimed at achieving a specific outcome. The implementation of such project might involve uncertainties and risks, high costs, many stages and considerable time consumption, the need to have a well-coordinated team of executors, as well as no guarantee that there wiil be the expected outcome. The choice of a project management methodology and a strategy depends on the type of the process system and the project implementation objectives, the nature of uncertainties and risks, the possibility of using information technology and parallel design.Both project risks and design costs depend on the number of alternatives considered during design stages. Therefore, for project management it is necessary to use design process models that take into account the number of alternatives and their effectiveness at each stage of design work. In general, a design process can be described by a functional model in IDEF0 format supplemented by decision-making nodes.The method of evaluating the effectiveness of alternatives is based on the method of dynamic variation, which assumes that each design stage has a formed group of various alternatives that begin to be developed in parallel. After each stage, there is an expert evaluation session with the following decision on the significance of different alternatives in a group.As an example, the paper describes using the dynamic variation method for developing a control system for a six-section precision furnace for heat treatment of thermistor workpieces in the air. From a control point of view, it is a typical MIMO system with complex relations between inlets and zones.

The paper considers theoretical and practical aspects of constructing a software architecture of energy efficient management plans for MIMO process facilities on a set of functioning states. The classification of control systems takes into account changes in functioning states during operation. The authors describe the possibilities of identifying the current functioning state in a control time slot. They also structure the software of energy efficient management plans with allocating functional subsystems and software modules. The general architecture of a energy efficient management plan includes a knowledge and data management subsystem, an interface subsystem and six basic software modules. The knowledge and data management subsystem includes a knowledge base, an inference engine, a database and a database management system. The interface subsystem consists of an initial data input module, a cognitive graphics module and an integrated development environment. The basic software modules of the energy efficient management plan are the following: an identification module of a control object dynamics model, a module for analysis of optimal control tasks, a module for synthesis of optimal control actions, a simulation module, a module for identification of a current functioning state, and an experiment planning module. Each basic module has determined system classes on a set of functioning states, in the software architecture of which it can be included. The paper proposes a methodology for constructing a software architecture of different energy efficient management plans on a set of functioning states. It also considers the features of software implementation of energy efficient management plans based on various approaches (using applied and software tools).