A Delta Operator State Estimation Algorithm for Discrete-Time Systems With State Time-Delay
Year: 2024
Type: article
Abstract: This letter presents a state estimation algorithm for linear discrete-time systems with state-delay. In order to overcome the difficulty that the traditional Kalman filter cannot estimate the states of the systems with state-delay, a state estimation strategy is developed by combining the auxiliary model with the delta operator. Then, by constructing and minimizing the covariance matrix of the state reconstruction errors, a delta operator state estimation algorithm is derived and it can fulfill effective state estimation for the linear discrete-time system with state-delay. Moreover, the convergence proof is provided by means of stochastic stability theory. Finally, the experimental results demonstrate that the developed state estimation method is effective.
Source: IEEE Signal Processing Letters
Authors: Ling Xu, Xiao Zhang, Feng Ding, Quanmin Zhu
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Award: G5660952937
OpenAlex ID: W4405518128
