Learning Hidden Markov Models for Linear Gaussian Systems with Applications to Event-based State Estimation

Kaikai Zheng, Dawei Shi, Ling Shi

This work attempts to approximate a linear Gaussian system with a finite-state hidden Markov model (HMM), which is found useful in solving sophisticated event-based state estimatio…