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Event-Triggered Prescribed Performance Control for Isoline Tracking of Unmanned Surface Vehicle

  • Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In complex and GPS-denied marine environments, unmanned surface vehicles (USVs) can encounter safety risks, leading to mission failure. Existing methods face numerous challenges in balancing tracking accuracy, obstacle avoidance safety, and resource efficiency under dynamic uncertainty. Previous trajectory tracking control methods lack adaptive safety constraints, while prescribed performance control (PPC) imposes strict initial state requirements and high communication overhead. Against these challenges, this paper proposes an event-triggered prescribed performance control framework to achieve safe and efficient isoline tracking for USVs. The approach enhances navigation safety while reducing computational and communication costs.

Original languageEnglish
Title of host publication2025 7th International Conference on Control and Robotics, ICCR 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages88-93
Number of pages6
ISBN (Electronic)9798331558765
DOIs
StatePublished - 2025
Event7th International Conference on Control and Robotics, ICCR 2025 - Kyoto, Japan
Duration: 4 Dec 20256 Dec 2025

Publication series

Name2025 7th International Conference on Control and Robotics, ICCR 2025

Conference

Conference7th International Conference on Control and Robotics, ICCR 2025
Country/TerritoryJapan
CityKyoto
Period4/12/256/12/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  3. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Event-triggered control
  • Isoline tracking
  • Prescribed performance control
  • Safe navigation
  • Unmanned surface vehicle

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