Identification of flexible link by a novel recursive maximum likelihood method

In recent decades, many researchers use model-based control techniques for flexible link. This paper presents comparative study on some methods for identification of flexible link. An analytical model for flexible link will be used as a basic simulation. In the identification and evaluation process, the output obtained from the analytical model is considered as measured signal of a physical flexible manipulator. A new RML method is introduced that yields sufficient result. Four different methods for linear identification are applied to problem and the results are investigated.