Nonlinear time-delay system identification based on multi-dimensional taylor network and IPSO

A novel identification method is proposed based on the characteristics of nonlinear time-delay systems. To identify nonlinear time-delay systems, Multi-dimensional Taylor network which has the powerful nonlinear approximation capability is utilized firstly, and then the improved particle swarm optimization algorithm is used to optimize weight numbers of Multi-dimensional Taylor network. To verify the effectivity of the proposed method, back propagation method is introduced to compare, the experimental results show that the proposed method identifies nonlinear time-delay systems effectively and is superior to the back propagation method.