Neural Networks for System Identification

Efficient structural health monitoring for a benchmark structure using adaptive RLS filters

“…What these approaches provide in real-time identification of modal parameters comes with significant computational cost and complexity. Other real-time capable approaches include model predictive and neural network based identification methods that fit parameters to generic or non-physical models [9,24,26,27].…”

System identification using neural networks

“…( 3 ) The neural network may implement the LSE well, but may not give the correct results because of local minimum [ 2 ] . As noted by a reviewer , this problem has not been adequately addressed, and requires more study.…”

“…implementation of LSE using neural networks [ 2 ] . Specifically, they show that a system described by a state space description such as equation (2) can be precisely identified with a Hopfield network using state measurements.…”

“…In [ 2 ] Chu, et al, have shown how to use the Hopfield network to identify the A and B matrices of a linear system using a Hopfield neural network. By the development above, we have put the problem of identifying the complete (A,B,C,D) description of a linear system into the same form used by Chu, et al Hence we can use the Hopfield network to solve the problem.…”

“…This is illustrated by an example in the next section. In view of page limitations, the reader is referred to [ 2 ] for more details.…”