Estimation with Applications to Tracking and Navigation
Estimation with Applications to Tracking and Navigation
Networked data fusion with packet losses and variable delays
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Information Sciences: an International Journal
Robust anti-windup controller design of time-delay fuzzy systems with actuator saturations
Information Sciences: an International Journal
Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions
Information Sciences: an International Journal
l2-l∞ filter design for discrete-time singular Markovian jump systems with time-varying delays
Information Sciences: an International Journal
Robust H∞ control for a class of discrete time fuzzy systems via delta operator approach
Information Sciences: an International Journal
Pair-wise decomposition and coordinated control of complex systems
Information Sciences: an International Journal
Information Sciences: an International Journal
Multiresolution modeling and estimation of multisensor data
IEEE Transactions on Signal Processing
Multi-sensor optimal information fusion Kalman filter
Automatica (Journal of IFAC)
Decentralized adaptive tracking control of nonaffine nonlinear large-scale systems with time delays
Information Sciences: an International Journal
A variational Bayesian approach to robust sensor fusion based on Student-t distribution
Information Sciences: an International Journal
Linear estimation for networked control systems with random transmission delays and packet dropouts
Information Sciences: an International Journal
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In asynchronous multi-sensor systems, data missing and delays are likely to occur when performing state estimation at different rates. In this paper, an algorithm to process both the delayed and missing measurements is developed, under the assumption that the data arrives between two consecutive sampling times. Local estimation is then implemented using a fusion algorithm. This study extends the currently available state estimation for asynchronous multi-rate multi-sensor that only considers random measurements missing with the ability to remove delay effect. Simulation experiments are performed to illustrate the effectiveness of the developed theory.