Robust H ∞ Control Based on EID Estimator and PETM for Network-Based Autonomous Vehicles' Path Tracking

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

3 Scopus citations

Abstract

This research paper examines resilient H ∞ path-tracking control for networked autonomous vehicles (AVs) facing unforeseen disturbances, packet loss, and delays. A developed robust control technique, integrating an equivalent-input-disturbance (EID) estimator, improves system reliability by facilitating the rejection of unidentified disturbances. The method ensures precise path-tracking, increased system speed, and reduced data transfer and energy consumption. A periodic event-triggered mechanism based on state observers (PETM-SO) further optimizes resource utilization. The system, employing EID, PETM-SO, and AVs model-based robust H ∞ control, ensures stability via Lyapunov-Krasovskii theory with LMIs, achieving asymptotic stability against unknown disturbances. Simulation validates the efficacy and resilience of the proposed control approach.

Original languageEnglish
Title of host publication22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1000-1008
Number of pages9
ISBN (Electronic)9798331542726
DOIs
StatePublished - 2025
Event22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025 - Monastir, Tunisia
Duration: 17 Feb 202520 Feb 2025

Publication series

Name22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025

Conference

Conference22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025
Country/TerritoryTunisia
CityMonastir
Period17/02/2520/02/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Keywords

  • Autonomous vehicles
  • Equivalent-input-disturbance estimator
  • Linear matrix inequality
  • Periodic event triggered mechanism
  • Robust Control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Signal Processing
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Instrumentation

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