Adaptive Estimation of Unknown Systems with Unmodeled Dynamics via D-L Networks

D-L 네트워크에 의한 비모형화 특성을 가지는 미지 시스템의 적응형 추정

This paper presents an efficient method which can estimate the system with unmodeled dynamics using D-L networks. The proposed method is to estimate system with unmodeled dynamics recursively from only input-output information, which can exclude additional procedure for system description and thus reduce the required computational burden for real-time estimation. Higher convergence speed is achieved with our manner when compared with widely-used conventional methods.