topics: [“control engineering”, “PID control”, “reliability”, “simulation”]
A control system is not acceptable simply because it “moves.”
In long-term operation, what breaks first is often when it moves—its timing.
In this article, we compare:
on a plant subjected to friction aging equivalent to 1000 days, and show a case where:
A control strategy that appears successful actually collapses as a reliability control.
The objective is not accuracy improvement.
Can response timing (Δt) be preserved under long-term degradation?
This question is evaluated explicitly from a Reliability perspective.
The comparison result is shown below.

At first glance, AITL appears to be a “success.”
Closer inspection of the AITL response reveals:
In other words:
Timing was preserved at the cost of controllability.
The reason is straightforward.
As a result:
Timing-oriented retuning alone can collapse motion authority.
This is not a bug—it is an inevitable design failure.
This result makes one thing clear:
Reliability Control ≠ optimization of a single metric
At minimum, the following must be considered jointly:
Reliability Control is therefore a constrained multi-objective design problem.
In this article, we clarified:
Next, we will move on to:
Designing a Reliability FSM with amplitude and saturation constraints
GitHub (Code and Reproducible Environment)
https://github.com/Samizo-AITL/aitl-controller-a-type
Detailed Analysis (GitHub Pages)
https://samizo-aitl.github.io/aitl-controller-a-type/docs/reliability/demo_friction_aging_analysis.html