Copertina

Transmission Neural Networks: Approximation and Optimal Control

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gao, Shuang, Caines, Peter E.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Systems and Control Social and Information Networks Optimization and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Transmission Neural Networks: Approximate Receding Horizon Control for Virus Spread on Networks
di: Gao, Shuang, et al.
Pubblicazione: (2025)

Transmission Neural Networks: Inhibitory and Excitatory Connections
di: Gao, Shuang, et al.
Pubblicazione: (2026)

Quadratic Optimal Control of Graphon Q-noise Linear Systems
di: Dunyak, Alex, et al.
Pubblicazione: (2024)

Incentive Design for Eco-driving in Urban Transportation Networks
di: Niazi, M. Umar B., et al.
Pubblicazione: (2023)

Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design
di: Kühne, Marino, et al.
Pubblicazione: (2025)

How Clustering Affects the Convergence of Decentralized Optimization over Networks: A Monte-Carlo-based Approach
di: Doostmohammadian, Mohammadreza, et al.
Pubblicazione: (2024)

Stochastic Opinion Dynamics under Social Pressure in Arbitrary Networks
di: Tang, Jennifer, et al.
Pubblicazione: (2023)

Structural Controllability of Large-Scale Hypergraphs
di: Pickard, Joshua, et al.
Pubblicazione: (2026)

Impact of Clustering on the Observability and Controllability of Complex Networks
di: Doostmohammadian, Mohammadreza, et al.
Pubblicazione: (2026)

Estimating True Beliefs in Opinion Dynamics with Social Pressure
di: Tang, Jennifer, et al.
Pubblicazione: (2023)

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

Optimal and $H_\infty$ Control of Stochastic Reaction Networks
di: Briat, Corentin, et al.
Pubblicazione: (2021)

Congestion Reduction in EV Charger Placement Using Traffic Equilibrium Models
di: Kara, Semih, et al.
Pubblicazione: (2025)

Delay-Tolerant Augmented-Consensus-based Distributed Directed Optimization
di: Doostmohammadian, Mohammadreza, et al.
Pubblicazione: (2025)

Classification-Based Opinion Formation Model Embedding Agents' Psychological Traits
di: Devia, Carlos Andres, et al.
Pubblicazione: (2022)

Belief Samples Are All You Need For Social Learning
di: JafariNodeh, Mahyar, et al.
Pubblicazione: (2024)

Optimal Inferential Control of Convolutional Neural Networks
di: Vaziri, Ali, et al.
Pubblicazione: (2024)

Equilibria in Network Constrained Markets with System Operator
di: Como, Giacomo, et al.
Pubblicazione: (2024)

Design of A* based heuristic algorithm for efficient interdiction in multi-Layer networks
di: Samanta, Sukanya
Pubblicazione: (2025)

Cost-Aware Distributed Online Learning with Strict Rejection Behavior against Adversarial Agents
di: Suo, Yuhan, et al.
Pubblicazione: (2024)

Optimal promotions of new products on networks
di: Fibich, Gadi, et al.
Pubblicazione: (2025)

U-centrality: A Network Centrality Measure Based on Minimum Energy Control for Laplacian Dynamics
di: Zheng, Xinran, et al.
Pubblicazione: (2025)

Partially Observed Optimal Stochastic Control: Regularity, Optimality, Approximations, and Learning
di: Kara, Ali Devran, et al.
Pubblicazione: (2024)

Incentive-Aware Models of Financial Networks
di: Jalan, Akhil, et al.
Pubblicazione: (2022)

NPAP: Network Partitioning and Aggregation Package for Python
di: Anarmo, Marco, et al.
Pubblicazione: (2026)

Degree Matrix Comparison for Graph Alignment
di: Wang, Ashley, et al.
Pubblicazione: (2024)

An Efficient Network-aware Direct Search Method for Influence Maximization
di: Bergamaschi, Matteo, et al.
Pubblicazione: (2025)

Volt/VAR Optimization in Transmission Networks with Discrete-Control Devices
di: Tong, Shuaicheng, et al.
Pubblicazione: (2026)

Spectrum Optimization of Dynamic Networks for Reduction of Vulnerability Against Adversarial Resonance Attacks
di: Sahin, Alp, et al.
Pubblicazione: (2024)

Causal-Informed Hybrid Online Adaptive Optimization for Ad Load Personalization in Large-Scale Social Networks
di: Mishra, Aakash, et al.
Pubblicazione: (2026)

Robust Regret Optimal Control
di: Liu, Jietian, et al.
Pubblicazione: (2023)

Approximate Solution Methods for the Average Reward Criterion in Optimal Tracking Control of Linear Systems
di: Nguyen, Duc Cuong
Pubblicazione: (2025)

How to Maximize Efficiency in Systems with Exhausted Workers
di: Sariisik, Elif Beray, et al.
Pubblicazione: (2025)

Optimal Control using Composite Bernstein Approximants
di: MacLin, Gage, et al.
Pubblicazione: (2024)

Rate-Cost Tradeoffs in Nonlinear Control
di: Atay, Eray Unsal, et al.
Pubblicazione: (2026)

Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem
di: Guo, Cheng, et al.
Pubblicazione: (2022)

Neural-NPV Control: Learning Parameter-Dependent Controllers and Lyapunov Functions with Neural Networks
di: Niloy, MD Abul Kashem, et al.
Pubblicazione: (2026)

Performance guaranteed MPC Policy Approximation via Cost Guided Learning
di: Zhou, Chenchen, et al.
Pubblicazione: (2026)

Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining
di: Hose, Henrik, et al.
Pubblicazione: (2024)

Solve the General Constrained Optimal Control Problem with Common Integration Method
di: Zhang, Sheng, et al.
Pubblicazione: (2018)