… filter and the sensors is governed by an adaptive event-triggered strategy. Furthermore, the
desired parameters of joint filters … Distributed resilient filtering for power systems subject to …

… problem and presents a adaptive-robust UPF algorithm for … the Kalman gain factor and
suppress the outliers. This method can't … Gaussian process based state estimation for a gyroscope-…

… Space–time Kalman filtering has important advantages over … dynamic evolution of the system
under study and to define its … suspicious outliers. The same holds for all other months. Fig. …

… dynamic open circuit voltage combined with an adaptive two-step filtering battery state estimation
… errors and therefore have a higher penalty for outliers. The smaller the RMSE value is, …

… , the similarity measurement is adapted to this dynamic image fusion … This tracker can solve
the outlier disturbance and abrupt … P is the covariance matrix of the state estimation error. The …

… system under the ICS operating in steady-state mode,the scene based adaptive NUC algorithm
in this paper adopts the dynamic linear … 4 Figure 3′s outlier is marked during the filtering …

… Given that dynamic process data can easily be contaminated by noise and outliers and
conventional dynamic … This paper proposed a novel method based on the adaptive chirp mode …

… compared to the finite difference approach. The … The reactor volume was cleared of outliers
using a Hampel filter. … the weighting was adapted to assign the priorities to the different states. …

… Estimation of Hammerstein nonlinear systems with noises using filtering and recursive
approaches for industrial control[J]. Frontiers of Information Technology & Electronic Engineering, …

… 6] defined AI as a system’s ability to correctly interpret external data, learn from such data,
and use those learnings to achieve specific goals and tasks through flexible adaptation. AI has …