Design-OS: A Specification-Driven Framework for Engineering System Design with a Control-Systems Design Case

• URL: http://arxiv.org/abs/2603.20151v1
• Date: Fri, 20 Mar 2026 17:26:44 GMT
• Title: Design-OS: A Specification-Driven Framework for Engineering System Design with a Control-Systems Design Case
• Abstract summary: Design-OS is a specification-driven workflow for engineering system design organized in five stages.<n>Each stage produces structured artifacts that maintain traceability and support agent-augmented execution.<n>A blank template and the full design-case artifacts are shared in a public repository to support and reuse.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Engineering system design -- whether mechatronic, control, or embedded -- often proceeds in an ad hoc manner, with requirements left implicit and traceability from intent to parameters largely absent. Existing specification-driven and systematic design methods mostly target software, and AI-assisted tools tend to enter the workflow at solution generation rather than at problem framing. Human--AI collaboration in the design of physical systems remains underexplored. This paper presents Design-OS, a lightweight, specification-driven workflow for engineering system design organized in five stages: concept definition, literature survey, conceptual design, requirements definition, and design definition. Specifications serve as the shared contract between human designers and AI agents; each stage produces structured artifacts that maintain traceability and support agent-augmented execution. We position Design-OS relative to requirements-driven design, systematic design frameworks, and AI-assisted design pipelines, and demonstrate it on a control systems design case using two rotary inverted pendulum platforms -- an open-source SimpleFOC reaction wheel and a commercial Quanser Furuta pendulum -- showing how the same specification-driven workflow accommodates fundamentally different implementations. A blank template and the full design-case artifacts are shared in a public repository to support reproducibility and reuse. The workflow makes the design process visible and auditable, and extends specification-driven orchestration of AI from software to physical engineering system design.

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