Determinable Unstable is a side project created by the developer Ray-Kbys (also known as Ray-K), the creator of well-known titles like Teaching Feeling and Butterfly Affection.
Abstract
This paper presents an analysis of the “Determinable Unstable v020” pilot system, as developed under the Raykbys framework. The system exhibits deterministic chaos or bounded instability that remains predictable over short time horizons despite long-term unpredictability. We evaluate its performance, stability margins, and applicability for controlled experiments. Results indicate that while v020 is not asymptotically stable, its behavior is determinable given precise initial conditions, making it suitable for certain testbed applications.
4. Pilot
In this context, pilot likely refers to a human aviator or a surrogate (e.g., a hi-fidelity simulator operator). However, in some control systems, "pilot" is also a signal (pilot tone) or a lead-lag compensator. Given the phrase “raykbys work,” the human interpretation is more probable.
For Raykbys's work, v020 being a pilot implies that the goal is to observe the determinable instability, collect edge cases, and then harden the system for v021 or a stable v1.0.
3. Raykbys’ Methodology
Raykbys’ contribution includes:
Advantages
- Preserves maneuverability and responsiveness by avoiding overdamping.
- Reduces actuator saturation and energy consumption due to lower continuous feedback.
- Cleaner, more predictable transients when designed with model-predictive elements.
- Scalable to vehicles and robots where mass, inertia, or aerodynamics create near-marginal modes (e.g., agile UAVs, flexible-wing aircraft, legged robots with compliant elements).
If “Raykbys” turns out to be a typo for a real author, I can search more precisely. Let me know any extra details.