Real-time fault-voltage estimation for nonlinear dynamic power systems

DOI10.1002/ACS.2592zbMath1348.93264OpenAlexW2151146736MaRDI QIDQ2830836

Mohamed Naceur Abdelkrim, Assem Thabet, Mohamed Boutayeb

Publication date: 1 November 2016

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2592

zbMATH Keywords

Kalman filteringmoving horizondynamic power systemfault-voltage estimation

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Sensitivity (robustness) (93B35) Nonlinear systems in control theory (93C10) Application models in control theory (93C95) Estimation and detection in stochastic control theory (93E10) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (4)

Detection, isolation and diagnosability analysis of intermittent faults in stochastic systems ⋮ State and fault estimation for T-S fuzzy nonlinear systems using an ensemble UKF ⋮ Interval observer design for continuous-time switched systems under known switching and unknown inputs ⋮ Set-membership methods applied to FDI and FTC

Cites Work

• Real-time fault diagnosis of nonlinear systems
• Sliding mode observer-based fault estimation for nonlinear networked control systems
• Nonlinear state estimation, indistinguishable states, and the extended Kalman filter
• Identification of nonlinear systems in the presence of unknown but bounded disturbances
• Redundancy Relations for Fault Diagnosis in Nonlinear Uncertain Systems
• A strong tracking extended Kalman observer for nonlinear discrete-time systems
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