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- Publisher
- Springer Journals
- Copyright
- Copyright © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024
- ISSN
- 0941-0643
- eISSN
- 1433-3058
- DOI
- 10.1007/s00521-024-10768-0
- Publisher site
- See Article on Publisher Site
Abstract
In this article, an event-triggered adaptive fuzzy inverse optimal control issue is investigated for the steer-by-wire vehicle (SBWV) systems. Firstly, fuzzy logic systems are adopted to model the unknown nonlinear dynamics and an auxiliary nonlinear system is established. Then, an event-triggered mechanism (ETM) is established to reduce the numbers of controller execution times. Subsequently, based on designed auxiliary nonlinear system and ETM, an event-triggered adaptive fuzzy inverse optimal control algorithm is proposed by employing the backstepping control technique. It is proved that the developed control method can ensure the stability of SBWV systems and the tracking error converges to the neighborhood of zero. Finally, the simulation results are provided to demonstrate the effectiveness of presented control approach.
Journal
Neural Computing and Applications – Springer Journals
Published: Mar 1, 2025
Keywords: Steer-by-wire vehicle (SBWV) systems; Fuzzy logic systems (FLSs); Inverse optimal control; Event-triggered mechanism (ETM)