OPTIMIZATION OF THE PROCESS MANAGEMENT STRATEGY IN CONDITIONS OF UNCERTAINTY

Tyryshkin S. Y.

With the development of digitalisation, the Fourth Industrial Revolution, process control systems have reached a new level, offering higher levels of accuracy, flexibility and automation that were unimaginable in the past. However, with the advent of innovation, breakthrough solutions, and increasing complexity of industrial systems, the range of sources of uncertainty that can affect process performance, stability, and reliability has expanded significantly. Uncertainties can arise from modelling errors, parameter variations, external disturbances, measurement noise and nonlinearities. In this context, the need to optimise the control strategy of technological processes under uncertainty is relevant, and the use of new approaches and methods for handling random perturbations is of particular importance. The article describes an approach to optimisation of control strategy based on fuzzy logic, which allows to combine different control objectives, and to provide realistic and robustness with respect to input and output constraints.

Keywords:management, uncertainty, strategy, fuzzy logic, optimisation, modelling