The article deals with materials concerning estimation of efficiency of intelligent control systems for complex process facilities. Special attention is drawn to the general technicaleconomic indicators, used to assess the degree of reduction in total amount of work expended on the production of a unit of finished product, as well as indicators of energy and resource efficiency, and cost function minimizing. The traditional task of choosing a particular automation system is to compare the expectation effect of its implementation with the cost of equipment and maintenance of the system. In economic effect analysis of modern automation system for complex process facilities, which include АСS, ICS, algorithms of robustness, adaptability, coordination, diagnostics, forecasting, etc. there are distinguished such components as structural effect, technological effect, energy effect, labor effect. There is a number of different approaches, which are offered to form a complex ICS efficiency indicator. It is shown that ICS efficiency is directly related to the time estimations of receipt and realization of making decisions, but main effects of their application are shown in possibility of assured achievement of management aim with the highest quality at the top level and the highest energy and resource efficiency indicators at the lower executive level "object of control + regulator" of hierarchical system. An important requirement in intelligent control systems is ensuring of robustness of traditional regulators P, PI, PD, PID, which are used at the bottom executive level. Different level of intellectuality depending on the completeness and correctness of the knowledge base, can be obtained using hybrid intelligent control systems by means of integration of PID-and unclear regulators. It is analysed, that in ICS more and more tasks for complex process facilities are solved on the basis of the use of neural, adaptive neural and neuron-sensitive methods, sensitivity functions.

Complexation Robustness Coordination Uncertainty Emergent properties The article discusses the possibility of synthesis of existing methods and principles of control to get new more sophisticated systems that would have emergent properties and allow to increase the efficiency of complex technological systems. The authors proposed to combine robust and optimal control methods, robust and adaptive ones, coordination and situational methods, etc. The obtained control systems, which cannot be obtained via trivial use of both methods chosen for complexation, provide quality and efficient control of complex plants for which the standard control system cannot guarantee the required accuracy.