Abstract

Application of classical control theoretical methods depends on the availability of well defined models of the plants. In large-scale control problems due to the comple.xity, heterogeneity and time-dependent behavior of the system to be controlled, classical control theory has only limited use. New research directions in intelligent control pursue a different approach and introduce an extended interpretation of the most fundamental concepts of control theory. A conceptual framework for these efforts is formalized in the semantic control theory [l]. Key elements of this theory are the following concepts:

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