Application of pattern recognition methods to control systems

Pattern recognition methods, capable of intelligent decision making without a precise description of the process model have been used in many cases to implement advanced control systems. Such techniques have been applied for structural identification of nonlinear systems, to direct control of systems operating in uncertain environments to quality process control. Finally pattern recognition methods may be used to implement the higher levels of intelligent control systems where advanced decision making is required. An account of these techniques and their application to controls are given in this paper. Possible new applications to socioeconomic, bioengineering, transportation and robotic systems, man-machine interactive systems and other advanced automation systems are discussed.