Shape Control

This paper proposes an optimal shape control methodology for composite fuselage assembly using a new sparse-learning model to minimize the maximum dimensional gap between fuselages.

This paper presents a novel optimal shape control methodology for composite fuselage assembly using $L_\infty$ loss, addressing the limitations of existing $L_2$ based approaches by focusing on minimizing the maximum dimensional gap and considering sparse actuator placement.

This paper proposes an optimal actuator placement methodology for composite fuselage shape control, utilizing a sparse learning model and ADMM algorithm to minimize shape deviations and improve assembly efficiency.