Fault isolation for multivariate nonlinear non-Gaussian systems using generalized entropy optimization principle

DOI10.1016/j.automatica.2009.07.023zbMath1180.93103OpenAlexW2091992558MaRDI QIDQ1049159

Lei Guo, Li-Ping Yin

Publication date: 8 January 2010

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2009.07.023

zbMATH Keywords

non-Gaussian systemsentropy optimizationmultivariate stochastic systemsfault isolation and accommodationknowledge-driven filteringoptimal control and estimation

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Multivariable systems, multidimensional control systems (93C35) Estimation and detection in stochastic control theory (93E10)

Related Items (8)

Minimum error entropy filter for fault detection of networked control systems ⋮ Statistical information based single neuron adaptive control for non-Gaussian stochastic systems ⋮ Design of new fault diagnosis and fault tolerant control scheme for non-Gaussian singular stochastic distribution systems ⋮ Joint stochastic distribution tracking control for multivariate descriptor systems with non-gaussian variables ⋮ Function based fault detection for uncertain multivariate nonlinear non-Gaussian stochastic systems using entropy optimization principle ⋮ Resilient minimum entropy filter design for non-Gaussian stochastic systems ⋮ Adaptive control and signal processing literature survey (No. 16) ⋮ Fault diagnosis and fault-tolerant control for non-Gaussian nonlinear stochastic systems via entropy optimisation

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• Minimum entropy control of closed-loop tracking errors for dynamic stochastic systems
• Robust Kalman filtering for discrete time-varying uncertain systems with multiplicative noises
• Minimum entropy filtering for multivariate stochastic systems with non-Gaussian noises

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