Synergistic intelligent control of nonlinear dynamic objects

The article deals with the synthesis of effective algorithms for controlling a chemical reactor and developed a fuzzy synergistic controller for a class of indefinite nonlinear dynamic systems. The synthesis of control laws is performed by the method of analytical design of aggregated controllers (ADAR). Intelligent systems are used to assess the unknown nonlinear behavior of an object, and a new adaptive fuzzy controller is developed based on synergetic control theory. It consists of a fuzzy system for approximating unknown system dynamics using adaptive synergistic control to archive the desired characteristics.