Imagen de Portada

Ba-ZebraConf: A Three-Dimension Bayesian Framework for Efficient System Troubleshooting

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Xing, Deyi, Chen, Weicong, Tatsuoka, Curtis, Lu, Xiaoyi
Formato:	Preprint
Publicado:	2024
Materias:	Systems and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Koopman Model Dimension Reduction via Variational Bayesian Inference and Graph Search
por: Ozcan, Selin Ezgi, et al.
Publicado: (2026)

Sample-Efficient Learning for a Surrogate Model of Three-Phase Distribution System
por: Nguyen, Hoang Tien, et al.
Publicado: (2023)

Computationally Efficient Electromagnetic Transient Power System Studies using Bayesian Optimization
por: Kuhn, Marius, et al.
Publicado: (2023)

Uncertainty Propagation in Stochastic Hybrid Systems with Dimension-Varying Resets
por: C., Tejaswi K., et al.
Publicado: (2026)

Robust Control of General Linear Delay Systems under Dissipativity: Part I -- A KSD-based Framework
por: Feng, Qian, et al.
Publicado: (2025)

BaCLNS: A toolbox for fast and efficient control of Linear and Nonlinear Control Affine Systems
por: Folorunsho, Samuel O., et al.
Publicado: (2024)

From Liability to Asset: A Three-Mode Grid-Forming Control Framework for Centralized Data Center UPS Systems
por: Shamseldein, Mohamed
Publicado: (2025)

Abstracted Model Reduction: A General Framework for Efficient Interconnected System Reduction
por: Poort, Luuk, et al.
Publicado: (2024)

Three-Dimension Collision-Free Trajectory Planning of UAVs Based on ADS-B Information in Low-Altitude Urban Airspace
por: Dong, Chao, et al.
Publicado: (2024)

A Dimension-Decomposed Learning Framework for Online Disturbance Identification in Quadrotor SE(3) Control
por: Gao, Tianhua
Publicado: (2025)

A PAC-Bayesian Framework for Optimal Control with Stability Guarantees
por: Boroujeni, Mahrokh Ghoddousi, et al.
Publicado: (2024)

A Unified Bayesian Framework for Data-Driven Smoothing, Prediction, and Control
por: Yin, Mingzhou, et al.
Publicado: (2025)

Naked Eye Three-dimensional Display System Based on Time-multiplexed Technology
por: Liu, Ziyang, et al.
Publicado: (2025)

Design of an Efficient Three-Level Buck-Boost Converter in PSIM
por: London, Justin
Publicado: (2025)

Economically Efficient Combined Plant and Controller Design Using Batch Bayesian Optimization: Mathematical Framework and Airborne Wind Energy Case Study
por: Baheri, Ali, et al.
Publicado: (2019)

A Hybrid Sequential Convex Programming Framework for Unbalanced Three-Phase AC OPF
por: Yehia, Sary, et al.
Publicado: (2025)

Bayesian Holonic Systems: Equilibrium, Uniqueness, and Computation
por: Pan, Yunian, et al.
Publicado: (2025)

Unified Estimation--Guidance Framework Based on Bayesian Decision Theory
por: Mudrik, Liraz, et al.
Publicado: (2026)

Nonlinear Three-Tank System Fault Detection and Isolation Using Differential Flatness
por: Rammal, Rim, et al.
Publicado: (2022)

BEACON: A Bayesian Evolutionary Approach for Counterexample Generation of Control Systems
por: Yancosek, Joshua, et al.
Publicado: (2024)

Cyber Resilience of Three-phase Unbalanced Distribution System Restoration under Sparse Adversarial Attack on Load Forecasting
por: Chao, Chen, et al.
Publicado: (2025)

Generalized Vector Locus Transformation for Unbalanced Three-Phase Systems
por: Desai, Maitraya Avadhut, et al.
Publicado: (2024)

Guided Bayesian Optimization: Data-Efficient Controller Tuning with Digital Twin
por: Nobar, Mahdi, et al.
Publicado: (2024)

Dimension and model reduction approaches for linear Bayesian inverse problems with rank-deficient prior covariances
por: König, Josie, et al.
Publicado: (2025)

Data-Driven Stochastic Distribution System Hardening Based on Bayesian Online Learning
por: Shi, Wenlong, et al.
Publicado: (2025)

Robust Ultra-High-Dimensional Variable Selection With Correlated Structure Using Group Testing
por: Guo, Wanru, et al.
Publicado: (2026)

A Scalable Bundle Method for Exact Reformulation of SDP in Three-Phase Power Flow Feasibility
por: Fang, Bohang, et al.
Publicado: (2026)

Bayesian Physics-informed Neural Networks for System Identification of Inverter-dominated Power Systems
por: Stock, Simon, et al.
Publicado: (2024)

Bayesian Optimization Parameter Tuning Framework for a Lyapunov Based Path Following Controller
por: Zheng, Zhewen, et al.
Publicado: (2025)

A Hybrid Framework for Efficient Koopman Operator Learning
por: Estornell, Alexander, et al.
Publicado: (2025)

A Versatile Framework for Data-Driven Control of Nonlinear Systems
por: Monshizadeh, Nima, et al.
Publicado: (2024)

A Unified Alternating Optimization Framework for Joint Sensor and Actuator Configuration in LQG Systems
por: Yang, Nachuan, et al.
Publicado: (2025)

Causal-Guided Dimension Reduction for Efficient Pareto Optimization
por: Jayasuriya, Dinithi, et al.
Publicado: (2025)

A Quadratic Control Framework for Dynamic Systems
por: Ladnik, Igor
Publicado: (2025)

Enhanced Thermal Management in High-Temperature Applications: Design and Optimization of a Water-Cooled Forced Convection System in a Hollow Cuboid Vapour Chamber Using COMSOL and MATLAB
por: Colelough, brandon Curtis
Publicado: (2024)

An LLM-Assisted Multi-Agent Control Framework for Roll-to-Roll Manufacturing Systems
por: Li, Jiachen, et al.
Publicado: (2025)

Approximating Dispatchable Regions in Three-Phase Radial Networks with Conditions for Exact SDP Relaxation
por: Fang, Bohang, et al.
Publicado: (2025)

A Bayesian Perspective on the Data-Driven LQR
por: Schwaller, Thierry, et al.
Publicado: (2026)

Efficient Graph Partitioning under Resource Constraints: A Cutting-Plane Framework for Distribution Grids
por: Nguyen, Duong Thuy Anh, et al.
Publicado: (2026)

Introducing Modelling, Analysis and Control of Three-Phase Electrical Systems Using Geometric Algebra
por: Velasco, Manel, et al.
Publicado: (2023)