Presentation of Analog-Digital Hybrid Parametric Design Modeling at eCAADe 2025

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On September 4th, 2025, Xue Chao and Bao Boyu, Master’s students in the Design Cybernetics Group, were invited by the eCAADe organizing committee to present their paper, “Analog-Digital Hybrid Parametric Design Modeling” at the eCAADe 2025 Conference in Ankara, Turkey. The paper was co-authored by Thomas Fischer.

Xue Chao presenting at the eCAADe 2025 conference in Ankara

In architectural design, mainstream computational tools rely almost entirely on digital technology. Less widely known is the significant role analog computing played before digital methods became ubiquitous. This research reintroduces the analog computing paradigm—and specifically, analog-digital hybrid computing—to architectural parametric design.

The study is based on an analog-digital hybrid computing controller currently under development by Xue Chao in the Design Cybernetics Group laboratory. Applying this controller aims to reconnect architectural design modeling with its analog computational roots. The conference paper and presentation validated the feasibility of this approach by demonstrating the hybrid computing of catenary curves and cantilever beams within the Rhino/Grasshopper parametric design environment.

The Workflow of the System

The paper details the use of the hybrid controller as an intuitive interface to operate THE ANALOG THING (THAT), while digitally acquiring its analog outputs. The acquired results dynamically adjust the values of digital potentiometers on the controller, which are then fed back to THAT., completing the hybrid control loop. Simultaneously, the digital data from THAT is visualized on-screen for interactive design exploration using a custom Rhino/Grasshopper plugin.

Prototype Hybrid Controller

This hybrid methodology reduces the operational complexity of analog computers while avoiding the intricate calculations of purely digital systems. The team successfully implemented two architectural applications of this approach: catenary curves and bending beams.

Future work will focus on improving the hybrid controller’s performance – enhancing data transmission speed and computational precision to support more complex architectural design scenarios. The team also anticipates expanding the application scope of this modular hybrid parametric design modeling framework.

Reference

Xue, Chao, Bao, Boyu and Fischer, Thomas (2025). Analog-Digital Hybrid Parametric Design Modeling, in: Gönenç Sorguç, A., Kruþa Yemiþcioðlu, M., Akol, M., Erol, S.B., Bük, M.E., Güney, D. and Aktaþ Sulayýcý, B. (eds.), Confluence – Proceedings of the 43rd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2025), Middle East Technical University, Ankara, Turkey, 1-5 September 2025, Volume 1, pp. 683–692 [Open Access].

Chao Xue

Xue Chao is a postgraduate industrial design engineering student at the School of Design of Southern University of Science and Technology. He has a background in automation. In his previous research, Xue Chao designed a line-start surface-mounted and interior permanent magnet synchronous motor. Xue Chao's present research field is the analog computing. He is designing a hybrid controller for the analog computer THE ANALOG THING. This controller will allow harnessing the advantages of analog and digital computing. It aims to promote the concepts of analog and analog/digital hybrid computing to wider groups of users.