Integrated Bayesian parameter estimation with model‐based design of experiments for dynamic processes
Xinyu Cao,
Xi Chen,
Lorenz T. Biegler
Abstract:Integration of Bayesian parameter estimation (BPE) with model‐based design of experiments (MBDoE) aims to estimate process parameters efficiently and systematically. To achieve more efficient use of resources by iteratively selecting informative experiments based on current knowledge about the parameters, an integrated method with BPE and MBDoE is proposed in this article. A built‐in Markov Chain Monte Carlo is also developed to yield not only the distribution profile of the estimated parameters but also aid i… Show more
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