Smooth Spatiotemporal Tube Synthesis for Prescribed-Time Reach-Avoid-Stay Control

In this work, we address the issue of controller synthesis for a control-affine nonlinear system to meet prescribed time reach-avoid-stay specifications. Our goal is to improve upon previous methods based on spatiotemporal tubes (STTs) by eliminating the need for circumvent functions, which often lead to abrupt tube modifications and high control effort. We propose an adaptive framework that constructs smooth STTs around static unsafe sets, enabling continuous avoidance while guiding the system toward the target within the prescribed time. A closed-form, approximation-free control law is derived to ensure the system trajectory remains within the tube and satisfies the RAS task. The effectiveness of the proposed approach is demonstrated through a case study, showing a significant reduction in control effort compared to prior methods.

Publication Details

Journal
ArXiv.org
Published
2025-10-13
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Smooth Spatiotemporal Tube Synthesis for Prescribed-Time Reach-Avoid-Stay Control

ArXiv.org
Adaptive Control of Nonlinear Systems
article

Smooth Spatiotemporal Tube Synthesis for Prescribed-Time Reach-Avoid-Stay Control

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Abstract

In this work, we address the issue of controller synthesis for a control-affine nonlinear system to meet prescribed time reach-avoid-stay specifications. Our goal is to improve upon previous methods based on spatiotemporal tubes (STTs) by eliminating the need for circumvent functions, which often lead to abrupt tube modifications and high control effort. We propose an adaptive framework that constructs smooth STTs around static unsafe sets, enabling continuous avoidance while guiding the system toward the target within the prescribed time. A closed-form, approximation-free control law is derived to ensure the system trajectory remains within the tube and satisfies the RAS task. The effectiveness of the proposed approach is demonstrated through a case study, showing a significant reduction in control effort compared to prior methods.

ArXiv.org
Ministry of Education, India
Peace, Justice and strong institutions
Openalex Percentile: Top 43%
Adaptive Control of Nonlinear Systems
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