A new, actively developing class of intelligent automatic control systems based on knowledge processing technology is considered from the standpoint of effective application in solving management problems in conditions of uncertainty. The basics of building intelligent systems. As a priority theoretical basis for the design and research of such systems, the use of fuzzy logic technology is justified and the method of synthesis of fuzzy control algorithms presented by the system is presented. in which it is expedient to use technologies of expert systems and neural network structures. Key problems associated with the design of intelligent regulators and systems are analyzed on the examples of tracking systems, control systems for unmanned aerial vehicles and multi-link mechatronic devices. The solution of the problem of automated synthesis of intelligent systems with the use of genetic algorithms is considered Effective methods of processing heterogeneous information and building a human-machine interface for intelligent autonomous control systems are proposed For researchers, engineers, post-graduate students and students involved in the development and research of automatic control systems .