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 language | English |
|---|---|
| Title of host publication | 22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1000-1008 |
| Number of pages | 9 |
| ISBN (Electronic) | 9798331542726 |
| DOIs | |
| State | Published - 2025 |
| Event | 22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025 - Monastir, Tunisia Duration: 17 Feb 2025 → 20 Feb 2025 |
Publication series
| Name | 22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025 |
|---|
Conference
| Conference | 22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025 |
|---|---|
| Country/Territory | Tunisia |
| City | Monastir |
| Period | 17/02/25 → 20/02/25 |
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