Abstract

This letter considers the design of controllers that achieve safety for systems with unmodeled dynamics at the plant input. Simplified, low-order models are often used in the design of such controllers. Unmodeled dynamics (e.g., actuator dynamics, time delays, etc.) can lead to safety violations. This letter proposes a method to achieve safety in the presence of these unmodeled dynamics. The approach combines control barrier functions (CBFs) and integral quadratic constraints (IQCs). First, the input-output behavior of the unmodeled dynamics is bounded in the time domain using an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula> -IQC. Next, the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula> -IQC is incorporated into the CBF constraint to ensure safety. A safe controller is implemented by solving, in real-time, a convex optimization subject to the CBF constraint with the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula> -IQC. The approach is demonstrated with a simple example.

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