Robust Safety Filters for Lipschitz-Bounded Adaptive Closed-Loop Systems with Structured Uncertainties

A control theory preprint on keeping adaptive controllers inside safe state limits while they learn.

Author
Johannes Autenrieb (German Aerospace Center, DLR), Peter A. Fisher and Anuradha Annaswamy (MIT)
Published
18 June 2026
Kind
Control theory preprint, with proofs and one simulation
Original
arxiv.org/abs/2603.14403
Subject
Mathematics and optimization

What it is

Autenrieb, Fisher and Annaswamy extend earlier work on reference-based safe adaptive control. They treat plants where both the dynamics and the actuator effectiveness are uncertain. The aim is to keep the plant in a safe set during adaptation.

What it says

What evidence it gives

The paper gives a stability theorem and a safety theorem, each with a proof. It then reports one MATLAB simulation of a quadrotor avoiding a spherical obstacle. Five filters are compared by plotted trajectories, with no numeric table. The authors report that their filter stayed safe and gave smoother paths.

Interests and limits

The authors work on adaptive control and acknowledge Boeing support for one author. The paper's claim of smoother paths and less conservatism rests on plotted trajectories alone. The test is a single simulation with static model errors. No hardware flight is reported. The theory needs assumed known bounds on parameter errors and Lipschitz constants.