Title :
Nonlinear Distributed Filtering with Different Local Models
Author :
Alouani, A.T. ; Birdwell, J.D.
Author_Institution :
Department of Electrical Engineering, The University of Tennessee, Knoxville, TN 37996-2100
Abstract :
We derive the evolution of the conditional density of the state of a Markov process based on all the measurements of the state while using local conditional density functions communicated to the coordinator. The local conditional density functions are the result of local processing based on different valid local models and the local measurements of the state of the process. The derived equation is used to derive the distributed evolution of the first two moments of the central state.
Keywords :
Density functional theory; Density measurement; Differential equations; Discrete wavelet transforms; Filtering; Markov processes; Nonlinear equations; State estimation; Stochastic processes; Time measurement;
Conference_Titel :
American Control Conference, 1986
Conference_Location :
Seattle, WA, USA
