Online state and unknown inputs estimation for nonlinear systems with particle filter based recursive expectation‐maximization algorithm
Zhuangyu Liu,
Shunyi Zhao,
Haiying Wan
et al.
Abstract:The article presents an innovative approach to simultaneously estimate states and unknown inputs (UIs) in nonlinear systems using a particle filter (PF) based recursive expectation‐maximization (EM) algorithm. This method is distinct from traditional iterative EM algorithms. During the E‐step, it calculates the Q‐function recursively within the maximum likelihood framework, while the PF estimates the system states. The M‐step involves local maximization of the recursive Q‐function to online estimate the UIs. T… Show more
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