Abstract
This contribution presents a tool for designing 'grey-box' models with applications primarily to continuous industrial production processes. It is the result of more than ten years development at the Automatic Control group at KTH. This has involved development of basic theory for 'grey-box' identification and a number of case studies of full-scale industrial production processes. as well as construction of the MoCaVa software tool (Model Calibrator & Validator) with user interface adapted to the task of identification under partial structure and input uncertainty. The program uses Matlab. It is available from http://mocava.s3.kth.se free of charge.
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