Product behavior prediction using state-space model

Product behavior prediction plays a critical role in the early stage of product design due to the significant impact on the downstream design process. Integrating the strength of state-space model (SSM) in handling systems and the merit of purpose-function-effect-structure-behaviour ontology in analysis design process, a mapping relationship from effect-structure-behaviour to the SSM was established, and the key processes in the SSM were determined. The SSM for a crank-connecting rod mechanism was established to verify the proposed method. The result shows that SSM enables to provide a novel alternative to predict system behavior and optimize system design parameters.