Image de couverture de livre

Distributed Observer-based Fault Detection over Intelligent Networked Multi-Vehicle Systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Doostmohammadian, Mohammadreza, Rabiee, Hamid R.
Format:	Preprint
Publié:	2026
Sujets:	Systems and Control Distributed, Parallel, and Cluster Computing Multiagent Systems Signal Processing Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Momentum-based Accelerated Algorithm for Distributed Optimization under Sector-Bound Nonlinearity
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2025)

Momentum-based Distributed Resource Scheduling Optimization Subject to Sector-Bound Nonlinearity and Latency
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2025)

Distributed Automatic Generation Control subject to Ramp-Rate-Limits: Anytime Feasibility and Uniform Network-Connectivity
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2025)

Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying Networks
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2024)

Distributed Allocation and Resource Scheduling Algorithms Resilient to Link Failure
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2025)

On the Design of Resilient Distributed Single Time-Scale Estimators: A Graph-Theoretic Approach
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2025)

Distributed Observer Design for Tracking Platoon of Connected and Autonomous Vehicles
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2025)

Machine Learning and CPU (Central Processing Unit) Scheduling Co-Optimization over a Network of Computing Centers
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2025)

Fully Distributed and Quantized Algorithm for MPC-based Autonomous Vehicle Platooning Optimization
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2025)

Survey of Distributed Algorithms for Resource Allocation over Multi-Agent Systems
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2024)

Impact of Clustering on the Observability and Controllability of Complex Networks
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2026)

Accelerated Distributed Allocation
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2024)

Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks
par: Song, Zhuoqing, et autres
Publié: (2021)

dHPR: A Distributed Halpern Peaceman--Rachford Method for Non-smooth Distributed Optimization Problems
par: Feng, Zhangcheng, et autres
Publié: (2025)

An Accelerated Distributed Stochastic Gradient Method with Momentum
par: Huang, Kun, et autres
Publié: (2024)

Efficient Gradient Methods for Distributed Saddle Problems
par: Luo, Ruichen, et autres
Publié: (2026)

Quantized Decentralized Stochastic Learning over Directed Graphs
par: Taheri, Hossein, et autres
Publié: (2020)

Distributed Conjugate Gradient Method via Conjugate Direction Tracking
par: Shorinwa, Ola, et autres
Publié: (2023)

Resource Allocation in Large Language Model Integrated 6G Vehicular Networks
par: Liu, Chang, et autres
Publié: (2024)

On the Redundant Distributed Observability of Mixed Traffic Transportation Systems
par: Doostmohammadian, M., et autres
Publié: (2025)

Delay-Tolerant Augmented-Consensus-based Distributed Directed Optimization
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2025)

A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks
par: Alavi, Seyed Amir, et autres
Publié: (2019)

Distributed Intelligence in the Computing Continuum with Active Inference
par: Pujol, Victor Casamayor, et autres
Publié: (2025)

A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion
par: Hanzely, Filip, et autres
Publié: (2019)

Distributed Fractional Bayesian Learning for Adaptive Optimization
par: Yang, Yaqun, et autres
Publié: (2024)

Rate Analysis of Coupled Distributed Stochastic Approximation for Misspecified Optimization
par: Yang, Yaqun, et autres
Publié: (2024)

Logarithmically Quantized Distributed Optimization over Dynamic Multi-Agent Networks
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2024)

Log-Scale Quantization in Distributed First-Order Methods: Gradient-based Learning from Distributed Data
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2024)

Estimation Network Design framework for efficient distributed optimization
par: Bianchi, Mattia, et autres
Publié: (2024)

CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence
par: Huang, Kun, et autres
Publié: (2023)

Several Performance Bounds on Decentralized Online Optimization are Highly Conservative and Potentially Misleading
par: Meunier, Erwan, et autres
Publié: (2025)

Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
par: Mhanna, Elissa, et autres
Publié: (2024)

Large Language Models over Networks: Collaborative Intelligence under Resource Constraints
par: Yuan, Liangqi, et autres
Publié: (2026)

DAG-Based QoS-Aware Dynamic Task Placement for Networked Multi-Stage Control Pipelines
par: Tran, Thien, et autres
Publié: (2026)

Pythia: Exploiting Workflow Predictability for Efficient Agent-Native LLM Serving
par: Yu, Shan, et autres
Publié: (2026)

Wireless Sensor Networks Nodes Clustering and Optimization Based on Fuzzy C-Means and Water Strider Algorithms
par: Alsharfa, Raya Majid, et autres
Publié: (2025)

Cloud-Based Scheduling Mechanism for Scalable and Resource-Efficient Centralized Controllers
par: Seisa, Achilleas Santi, et autres
Publié: (2024)

Distributed Target Tracking based on Localization with Linear Time-Difference-of-Arrival Measurements: A Delay-Tolerant Networked Estimation Approach
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2024)

Multi-Source to Multi-Target Decentralized Federated Domain Adaptation
par: Wang, Su, et autres
Publié: (2023)

Characterization and Mitigation of Insufficiencies in Automated Driving Systems
par: Fu, Yuting, et autres
Publié: (2024)