Highly computationally efficient state filter based on the delta operator
Xiao Zhang, Feng Ding, Ling Xu, Erfu Yang · International Journal of Adaptive Control and Signal Processing · 2019
Summary The Kalman filter is not suitable for the state estimation of linear systems with multistate delays, and the extended state vector Kalman filtering algorithm results in heavy computational burden because of the large dimension of the state estimation covariance matrix. Thus, in this paper, we develop a novel state estimation algorithm for enhancing the computational efficiency based on the delta operator. The computation analysis and the simulation example show the performance of the proposed algorithm.