Fault detection for networked systems with random delays and packet losses

Cooperative target estimation of strap-down missiles considering random measurement delay

“…A novel approach through the re-organization of measurements was proposed to deal with the robust Kalman filtering problem for linear discrete-time systems with norm-bounded parametric uncertainty under both instantaneous and delayed measurements, 29 and a sufficient condition for the existence of a robust Kalman filter is derived. Bernoulli random variables are also used in literature studies 30,31 to explain the random delay phenomenon in multi-rate systems. Two Bernoulli stochastic variables were employed in literature 30 to describe the phenomena of one-step random delays and packet losses in data transmission.…”

“…Bernoulli random variables are also used in literature studies 30,31 to explain the random delay phenomenon in multi-rate systems. Two Bernoulli stochastic variables were employed in literature 30 to describe the phenomena of one-step random delays and packet losses in data transmission. However, this approach is not appropriate for low-cost, small-sized strap-down vehicles since it requires more computational storage space and the computational cost rises as the delay grows.…”

“…Inspired by literature studies, [28][29][30][31] a novel distributed cooperative estimate fusion approach is suggested in this study to address the issue of cooperative target estimation for multiple strap-down vehicles while taking into account the unpredictable transmission latency of observation data. The approach implements local estimate for each strap-down detection subsystem and, on the basis of this, implements the global estimation of multiple detection nodes by using the principle of least estimation error covariance trace.…”