Copertina

Modularized Neural Network Incorporating Physical Priors for Smart Building Control, Accuracy or Consistency?

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jiang, Zixin, Dong, Bing
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Physics-informed Modularized Neural Network for Advanced Building Control by Deep Reinforcement Learning
di: Jiang, Zixin, et al.
Pubblicazione: (2025)

BESTOpt: A Modular, Physics-Informed Machine Learning based Building Modeling, Control and Optimization Framework
di: Jiang, Zixin, et al.
Pubblicazione: (2026)

OptAgent: an Agentic AI framework for Intelligent Building Operations
di: Jiang, Zixin, et al.
Pubblicazione: (2026)

The Smart Buildings Control Suite: A Diverse Open Source Benchmark to Evaluate and Scale HVAC Control Policies for Sustainability
di: Goldfeder, Judah, et al.
Pubblicazione: (2024)

Control Forward-Backward Consistency: Quantifying the Accuracy of Koopman Control Family Models
di: Haseli, Masih, et al.
Pubblicazione: (2026)

Dionysos.jl: a Modular Platform for Smart Symbolic Control
di: Calbert, Julien, et al.
Pubblicazione: (2024)

Physics-informed machine learning for building performance simulation-A review of a nascent field
di: Jiang, Zixin, et al.
Pubblicazione: (2025)

Physics-Informed Neural Networks in Power System Dynamics: Improving Simulation Accuracy
di: Nadal, Ignasi Ventura, et al.
Pubblicazione: (2025)

Realizing Space-oriented Control in Smart Buildings via Word Embeddings
di: Ge, Hangli, et al.
Pubblicazione: (2025)

Robust Input Shaping Vibration Control via Extended Kalman Filter-Incorporated Residual Neural Network
di: Yang, Weiyi, et al.
Pubblicazione: (2024)

Differentially Private Average Consensus with Improved Accuracy-Privacy Trade-off
di: Wang, Lei, et al.
Pubblicazione: (2023)

On Physics-Informed Neural Network Control for Power Electronics
di: Hui, Peifeng, et al.
Pubblicazione: (2024)

Data-Driven Smart Maintenance of Historic Buildings
di: Ni, Zhongjun
Pubblicazione: (2025)

Smart Sensing Breaks the Accuracy Barrier in Battery State Monitoring
di: Bian, Xiaolei, et al.
Pubblicazione: (2025)

Model-Based Adaptive Control of Modular Multilevel Converters
di: Tebaldi, Davide, et al.
Pubblicazione: (2024)

Physics-Constrained Taylor Neural Networks for Learning and Control of Dynamical Systems
di: Nguyen, Nam T., et al.
Pubblicazione: (2024)

On the Use of Safety Critical Control for Cyber-Physical Security in the Smart Grid
di: Mohamed, Amr S., et al.
Pubblicazione: (2023)

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

Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning
di: Gao, Guanyu, et al.
Pubblicazione: (2019)

A Planning Strategy for Building a Heterogeneous Smart EM Environment
di: Benoni, Arianna, et al.
Pubblicazione: (2025)

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

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine
di: Winkler, Alexander, et al.
Pubblicazione: (2025)

Stability Margins of Neural Network Controllers
di: Junnarkar, Neelay, et al.
Pubblicazione: (2024)

Adaptive Modular Geometric Control of Robotic Manipulators
di: Hejrati, Mahdi, et al.
Pubblicazione: (2026)

Physics-Informed Neural Optimal Control for Precision Immobilization Technique in Emergency Scenarios
di: Jiang, Yangye, et al.
Pubblicazione: (2026)

USLC: Universal Self-Learning Control via Physical Performance Policy-Optimization Neural Network
di: Zhang, Yanhui, et al.
Pubblicazione: (2024)

Physics-Informed Neural Network for Cross-Domain Predictive Control of Tapered Amplifier Thermal Stabilization
di: Shi, Yanpei, et al.
Pubblicazione: (2025)

Combining Prior Knowledge and Data for Robust Controller Design
di: Berberich, Julian, et al.
Pubblicazione: (2020)

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

Deep Q-Network for Optimizing NOMA-Aided Resource Allocation in Smart Factories with URLLC Constraints
di: Gengtian, Shi, et al.
Pubblicazione: (2025)

Multi-layer Optimized Coordination of Smart Building Resources in Active Power Distribution Systems
di: Rostami, Mohammadali, et al.
Pubblicazione: (2025)

A Framework for Scalable Digital Twin Deployment in Smart Campus Building Facility Management
di: Siv, Thyda
Pubblicazione: (2025)

Learning Safe-by-Design Neural Network Controllers
di: Zhao, Yang, et al.
Pubblicazione: (2026)

Neural Control Barrier Functions from Physics Informed Neural Networks
di: Agrawal, Shreenabh, et al.
Pubblicazione: (2025)

Distributed Reinforcement Learning using Local Smart Meter Data for Voltage Regulation in Distribution Networks
di: Liu, Dong, et al.
Pubblicazione: (2025)

Sample-Efficient Online Control Policy Learning with Real-Time Recursive Model Updates
di: Zhang, Zixin, et al.
Pubblicazione: (2025)

Physics-Informed Neural Network-Based Control for Grid-Forming Converter's Stability Under Overload Conditions
di: Kumar, Abhay, et al.
Pubblicazione: (2025)

Federated Fine-Tuning for Pre-Trained Foundation Models Over Wireless Networks
di: Wang, Zixin, et al.
Pubblicazione: (2024)

Data-Driven Stabilization Using Prior Knowledge on Stabilizability and Controllability
di: Shakouri, Amir, et al.
Pubblicazione: (2025)

A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids
di: Li, Qi, et al.
Pubblicazione: (2024)