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stat.AP2013
Input design for Bayesian identification of non-linear state-space models
Aditya Tulsyan, Swanand R. Khare, Biao Huang +2
We propose an algorithm for designing optimal inputs for on-line Bayesian identification of stochastic non-linear state-space models. The proposed method relies on minimization of…
stat.AP2013
Error analysis in Bayesian identification of non-linear state-space models
Aditya Tulsyan, Biao Huang, R. Bhushan Gopaluni +1
In the last two decades, several methods based on sequential Monte Carlo (SMC) and Markov chain Monte Carlo (MCMC) have been proposed for Bayesian identification of stochastic non-…