Minimum-Variance Unbiased Unknown Input and State Estimation for Multi-Agent System with Heterogeneous Unknown Input
Yukun Shi, Changqing Liu, Xiao Shen, Youqing Wang · 2018
This study solves the problem of simultaneous estimation of unknown inputs and states of multi-agent system with both homologous and heterogeneous unknown inputs. A group of distributed filters, in the sense of minimum-variance unbiased (MVU), are developed to estimate the homologous unknown inputs in cooperative operative mode and to estimate the heterogeneous unknown inputs in decentralized operative mode. Theoretical and numerical examples shows the effectiveness of the filters.