Performance Space Supported Design of Analog Electronic Circuits

Abstract

Performance spaces as representations for attainable image spaces of analog electronic circuits are well-suited for supporting their conventional design process. The design task can be formulated as non-convex multi-objective optimization problem. We apply a numerical approach based on the normal-boundary intersection method to model two example circuits. Furthermore, the impact of a power limitation and relaxation of design constraints on the resulting performance spaces is evaluated. Thus, we show how these models are supporting conclusions for important design decisions. We also present a concept for visualizing active constraints on the performance space boundary to directly identify the responsible circuit parts.