Fusion estimation from multisensor observations with multiplicative noises and correlated random delays in transmission
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Publication:2413133
DOI10.3390/math5030045zbMath1383.93080OpenAlexW2753308315WikidataQ59551781 ScholiaQ59551781MaRDI QIDQ2413133
Raquel Caballero-Águila, Josefa Linares-Pérez, Aurora Hermoso-Carazo
Publication date: 9 April 2018
Published in: Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3390/math5030045
Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Least squares and related methods for stochastic control systems (93E24) Observability (93B07)
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Cites Work
- Self-tuning weighted measurement fusion Kalman filtering algorithm
- Robust \(\mathcal H_\infty\) filtering for nonlinear stochastic systems with uncertainties and Markov delays
- Optimal filtering for networked systems with stochastic sensor gain degradation
- Information fusion algorithms for state estimation in multi-sensor systems with correlated missing measurements
- Distributed fusion estimation for multisensor multirate systems with stochastic observation multiplicative noises
- Kalman filtering for discrete stochastic systems with multiplicative noises and random two-step sensor delays
- Optimal filtering for systems with finite-step autocorrelated process noises, random one-step sensor delay and missing measurements
- Optimal sequential and distributed fusion for state estimation in cross-correlated noise
- Linear estimation for networked control systems with random transmission delays and packet dropouts
- Linear estimation based on covariances for networked systems featuring sensor correlated random delays
- Kalman filter-based identification for systems with randomly missing measurements in a network environment
- Array algorithms for H/sup ∞/ estimation
- Optimal distributed Kalman filtering fusion for a linear dynamic system with cross-correlated noises
- Optimal state estimation for networked systems with random parameter matrices, correlated noises and delayed measurements