Subspace aided data-driven design of robust fault detection and isolation systems

DOI10.1016/J.AUTOMATICA.2011.05.028zbMath1228.93049OpenAlexW2088900705MaRDI QIDQ646447

Steven X. Ding, Chuanjiang Li, Guangfu Ma, Yu Lei Wang

Publication date: 17 November 2011

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2011.05.028

zbMATH Keywords

fault detection and isolationsubspace methodparity space methodvehicle lateral dynamic system

Mathematics Subject Classification ID

System identification (93B30) Fault detection; testing in circuits and networks (94C12)

Related Items (9)

A data-driven approach to actuator and sensor fault detection, isolation and estimation in discrete-time linear systems ⋮ A data-driven robust fault detection method for linear systems with full-order sensors ⋮ Data-driven fault detection for Lipschitz nonlinear systems: from open to closed-loop systems ⋮ A data‐driven distributed fault detection scheme based on subspace identification technique for dynamic systems ⋮ Subspace method aided data-driven fault detection based on principal component analysis ⋮ Stabilization of nonlinear uncertain systems with stochastic actuator failures and time-varying delay ⋮ Robust Fault Detection Using Subspace Aided Data Driven Design ⋮ Integrated design of fault reconstruction and fault-tolerant control against actuator faults using learning observers ⋮ Data-driven fault identifiability analysis for discrete-time dynamic systems

Cites Work

• Closed-loop subspace identification using the parity space
• A characterization of parity space and its application to robust fault detection
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