Bayesian State Estimation of Nonlinear Systems Using Approximate Aggregate Markov Chains
Author:
Affiliation:
1. Department of Chemical and Biomedical Engineering, Cleveland State University, Cleveland, Ohio 44115
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ie050362l
Reference47 articles.
1. The minimization of measurement error in a general perturbation-correlation process identification system
2. Approximations to optimal nonlinear filters
3. Comparison of two approaches to on-line parameter and state estimation of nonlinear systems
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