부산대학교 도서관

Formal language techniques have been used in the past to study autonomous dynamical systems. However, for controlled systems, the modelling framework is based on a formulation in terms of context-dependent grammars distinguishing between information generated by the system and input control. The integration of electromechanical drive systems, which exhibit considerable intrinsic complexities, with information processing techniques allows a better adaptative modelling of the overall behaviour. Assuming the induction motor drive system as a linguistic source, producing a certain language, a grammatical inference algorithm is used to extract the productions that govern the grammar representing that language. The formalism of the developed formal language based control algorithm is presented. Grammatical interpolation and automatic rule inference techniques yield accurate results, making this language-based control a promising technique for changing and partial unknown systems. Experimental results regarding typical features are presented and discussed.