Several stochastic gradient algorithms for nonlinear systems with hard nonlinearities
This paper studies several identification methods for Hammerstein systems with piece-wise linearities.By using the key term separation technique,the model of the nonlinear Hammerstein systems be changed to an identification model,then based on the derived model,a stochastic gradient identification algorithm,a forgetting factor stochastic gradient algorithm and a modified stochastic gradient algorithm are used to estimate all the unknown parameters of the systems.An example is provided to show the effectiveness of the proposed algorithms.
Piece-wise linearity modified stochastic gradient forgetting factor parameter estimation nonlinear system
Jia Tang
Wuxi Professional College of Science and Technology Wuxi,China
国际会议
贵阳
英文
368-371
2015-08-18（万方平台首次上网日期，不代表论文的发表时间）