Abstract: In the context of Bayesian inversion for scientific and engineering modeling, Markov chain Monte Carlo (MCMC) sampling strategies have become the benchmark due to their flexibility and ...
Abstract: In this work, a direct data-driven control (DDC) scheme for linear systems under stochastic sensor faults is proposed. First, a fault model obeying Markov chain is constructed to reflect the ...
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