Abstract
Abstract Most of today’s knowledge-based control systems lack an adequate temporal reasoning mechanisms. These systems are designed primarily to operate with the current values of the process variables and, sometimes, with their derivatives. However, such simple capabilities are not always sufficient to identify some complex dynamic phenomena which result in intricate temporal profiles of the related variables. To detect and diagnose adequately the events of interest, the KB system should be able to reason about the temporal shapes of the process variables. The present paper proposes a generic procedure for qualitative analysis of the temporal shapes of continuous process variables, designed to be embedded into a real-time knowledge-based environments. Examples from its application to the supervision of recombinant amino acid production are provided.
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