On the computation of zeros in systems identified from output signals
The paper presents an extension of the standard state space approach to compute transfer function zeros to systems identified without deterministic information on the input.The extension is grounded on the fact that the observed output could have been generated by collocated inputs and that the span of the input to state matrix B associated with this condition is constrained by the A,C duplet of the stochastic identification.Two variants of the approach are presented,one which uses a minimum number of constraints from A and C and one that uses the maximum possible number.The advantage of the first option is conceptual simplicity but the disadvantage is that the solution is not independent of the state-space basis.It is shown,however,that the basis dependency can be removed by averaging.In the second implementation the solution is independent of the realization basis.The two implementations are found to provide similar accuracy in the numerical examples considered.
Model updating fictive constraints anti-resonances zeros output-only identification
D. Bernal O.F. Tigli
Northeastern University,Center for Digital Signal Processing,Boston MA,USA
国际会议
The World Forum on Smart Materials and Smart Structures Technology(SMSST07)(2007年世界智能材料与智能结构技术论坛)
重庆·南京
英文
2007-05-01（万方平台首次上网日期，不代表论文的发表时间）