Author

Hamid Taghavifar

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Preprint Sep 2026

Residual Learning-Based Control of Vehicle Platoons with $\ell_2$ Stability Guarantees via Recurrent Equilibrium Networks

This paper proposes a residual learning-based control framework for heterogeneous vehicle platoons subject to parametric uncertainty and external disturbances. A nominal controller designed via Linear Matrix Inequalities (LMIs), along with disturbance-observer compensation, is enhanced by a Recurrent Equilibrium Networ...

B. Delgado, Anh-Tu Nguyen, Hamid Taghavifar · 0 citations

Aug 2026

A Driver Behavior Detection Method Based on Improved YOLOv11 and an Attention Mechanism

This study presents a methodology to identify driver’s distraction using a refined You Only Look Once (YOLO) model, denoted as YOLOv11, which demonstrates higher accuracy and robustness, making it suitable for real-world driver monitoring system (DMS) deployments.

Bao Ma, Hamid Taghavifar, Zhi-Jun Fu et al. · SAE technical paper series · 0 citations

Preprint Aug 2026

Adaptive Observer of Nonlinear One-Sided Lipschitz Systems Using Estimated State Regressors With Finite Excitation

For systems with unknown parameters, finite excitation and concurrent learning can potentially yield parameter convergence without persistent excitation but the regressor may still depend on inaccessible states, leading to regressor mismatch. In this paper, this problem is addressed for a class of nonlinear systems wit...

Hamid Taghavifar, Briana Aguilar · 0 citations