Filtering and smoothing estimation algorithms from uncertain nonlinear observations with time-correlated additive noise and random deception attacks

DOI10.1080/00207721.2024.2328781zbMATH Open1544.93804MaRDI QIDQ6595605

Jun Hu, Raquel Caballero-Águila, Josefa Linares-Pérez

Publication date: 30 August 2024

Published in: International Journal of Systems Science. Principles and Applications of Systems and Integration (Search for Journal in Brave)

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Control/observation systems with incomplete information (93C41) Estimation and detection in stochastic control theory (93E10)

Cites Work

• Unnamed Item
• Centralized security-guaranteed filtering in multirate-sensor fusion under deception attacks
• Distributed filtering under false data injection attacks
• Distributed filtering for a class of discrete-time systems over wireless sensor networks
• Robust fusion Kalman estimators for networked mixed uncertain systems with random one-step measurement delays, missing measurements, multiplicative noises and uncertain noise variances
• State estimation of nonlinear time-varying complex networks with time-varying sensor delay for unknown noise distributions
• Distributed optimal fusion filtering for singular systems with random transmission delays and packet dropout compensations
• Optimal Estimation for Discrete-Time Linear Systems in the Presence of Multiplicative and Time-Correlated Additive Measurement Noises
• Least-squares estimators for systems with stochastic sensor gain degradation, correlated measurement noises and delays in transmission modelled by Markov chains
• Nonlinear Stochastic Systems with Network-Induced Phenomena
• Local design of distributed H_∞‐consensus filtering over sensor networks under multiplicative noises and deception attacks
• Convergence of Optimal Linear Estimator With Multiplicative and Time-Correlated Additive Measurement Noises
• Quadratic estimation for stochastic systems in the presence of random parameter matrices, time-correlated additive noise and deception attacks
• Distributed fusion filtering for uncertain systems with coupled noises, random delays and packet loss prediction compensation
• Distributed resilient fusion filtering for nonlinear systems with multiple missing measurements via dynamic event-triggered mechanism

This page was built for publication: Filtering and smoothing estimation algorithms from uncertain nonlinear observations with time-correlated additive noise and random deception attacks