The paper continues the authors’ research on control of complex technical facilities using hybrid methods. Two approaches are described and analyzed: neural network predictive and fuzzy hybrid controllers. Issues of adaptive tuning, control accuracy, and practical implementation of both methods are considered. Theoretical and practical results of the developed algorithms application in laboratory and industrial experiments are presented.