Fuzzy filter-based FDD design for non-Gaussian stochastic distribution processes using T-S fuzzy modeling

DOI10.1155/2013/156262zbMath1296.94184OpenAlexW2010098079WikidataQ59023008 ScholiaQ59023008MaRDI QIDQ460184

Yang Yi, Song-Yin Cao, Yue-Yue Zhao

Publication date: 13 October 2014

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/156262

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Adaptive control/observation systems (93C40) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Fuzzy sets and logic (in connection with information, communication, or circuits theory) (94D05)

Related Items (1)

Discrete-time 2-order sliding mode fault-tolerant tracking control for non-Gaussian nonlinear stochastic distribution control systems with missing measurements

Cites Work

• Stochastic distribution control system design. A convex optimization approach.
• Delay-dependent stability and \(H_\infty\) control for a class of fuzzy descriptor systems with time-delay
• Optimal stochastic fault detection filter.
• Bounded dynamic stochastic systems. Modelling and control
• Fuzzy identification of systems and its applications to modeling and control
• Applying observer based FDI techniques to detect faults in dynamic and bounded stochastic distributions
• Fault detection and diagnosis for general stochastic systems using B-spline expansions and nonlinear filters

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