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arxiv: 2603.17003 · v2 · pith:N7D5D7VJnew · submitted 2026-03-17 · 🧮 math.OC · cs.SY· eess.SY

Constricting Tubes for Prescribed-Time Safe Control

classification 🧮 math.OC cs.SYeess.SY
keywords controlprescribed-timerecoveryboundedconditionconstraintsconstrictingconstriction
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We propose a constricting Control Barrier Function (CBF) framework for prescribed-time control of control-affine systems with input constraints. Given a system starting outside a target safe set, we construct a time-varying safety tube that shrinks from a relaxed set containing the initial condition to the target set at a user-specified deadline. Any controller rendering this tube forward invariant guarantees prescribed-time recovery by construction. The constriction schedule is bounded and tunable by design, in contrast to prescribed-time methods where control effort diverges near the deadline. Feasibility{\aa} under input constraints reduces to a single verifiable condition on the constriction rate, yielding a closed-form minimum recovery time as a function of control authority and initial violation. The framework imposes a single affine constraint per timestep regardless of state dimension, scaling to settings where grid-based reachability methods are intractable. We validate on an 18-dimensional multi-agent system, demonstrating scalability and prescribed-time recovery with bounded control effort.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Exact-Time Safety Recovery using Time-Varying Control Barrier Functions with Optimal Barrier Tracking

    eess.SY 2026-03 unverdicted novelty 7.0

    The paper presents an exact-time safety recovery method for control-affine systems via time-varying CBFs with optimal barrier tracking that forces the barrier to follow a prescribed recovery trajectory.