Optimal identification for dynamic state space model of FOG in engineering application

The purpose of this paper is to present a practical dynamic model of fiber optic gyro (FOG). In terms of the sampled data, theoretically and practically provide the optimal engineering solutions. Based on ARMA(p, q) modeling, engineering application methods can be ameliorated. By segmenting the composition in the form of signals, the model is more reasonable and reliable. Approach mentioned in the paper is a dynamic description of system and the approach has its advantages. The results show ARMA(p, q) model identification for dynamic state space model of FOG is reasonable, and it works firmly.