A data‐driven distributed fault detection scheme based on subspace identification technique for dynamic systems
From MaRDI portal
Publication:6190341
DOI10.1002/rnc.6554OpenAlexW4312164105MaRDI QIDQ6190341
No author found.
Publication date: 6 February 2024
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.6554
subspace identificationsensor networksaverage consensusdistributed fault detectiondata-driven designs
Cites Work
- Data-driven realizations of kernel and image representations and their application to fault detection and control system design
- Subspace aided data-driven design of robust fault detection and isolation systems
- Distributed average consensus with least-mean-square deviation
- Scaled Consensus Problems on Switching Networks
- Transcale average consensus of directed multi-vehicle networks with fixed and switching topologies
- Compensation‐based data‐driven ILC with input and output package dropouts
- Iterative matrix bounds and computational solutions to the discrete algebraic Riccati equation
- Consensus and Cooperation in Networked Multi-Agent Systems
- Distributed sensor fault detection and isolation for multimachine power systems
- Distributed fault estimation for linear systems with actuator faults
This page was built for publication: A data‐driven distributed fault detection scheme based on subspace identification technique for dynamic systems
