Recursive state estimation for discrete time-varying stochastic nonlinear systems with randomly occurring deception attacks

DOI10.1080/03081079.2015.1106739zbMath1342.93105OpenAlexW2342716830MaRDI QIDQ2817109

Yongxiong Wang, Yuxuan Shen, Yan Song, Derui Ding

Publication date: 29 August 2016

Published in: International Journal of General Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03081079.2015.1106739

zbMATH Keywords

discrete time-varying systemsstochastic nonlinearitiesrandomly occurring deception attacksrecursive state estimation

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Stochastic systems in control theory (general) (93E03)

Related Items (4)

Recursive state estimation based-on the outputs of partial nodes for discrete-time stochastic complex networks with switched topology ⋮ Moving horizon estimation over relay channels: dealing with packet losses ⋮ Kalman filtering algorithm for systems with stochastic nonlinearity functions, finite-step correlated noises, and missing measurements ⋮ Strong \(\gamma_c\)-\(\gamma_{cl}H_\infty\) stabilization for networked control systems under denial of service attacks

Cites Work

• A general result in stochastic optimal control of nonlinear discrete-time systems with quadratic performance criteria
• Security of interdependent and identical networked control systems
• Finite-horizon estimation of randomly occurring faults for a class of nonlinear time-varying systems
• Quantised recursive filtering for a class of nonlinear systems with multiplicative noises and missing measurements
• On Nonlinear $H_{\infty }$ Filtering for Discrete-Time Stochastic Systems With Missing Measurements
• State estimation of uncertain nonlinear stochastic systems with general criteria

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