2007
DOI: 10.1016/j.ymssp.2005.07.004
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Multivariable feedback design to improve tracking performance on tractor vibration test rig

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Cited by 19 publications
(13 citation statements)
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“…The importance of off-diagonal elements in the matrix , i.e. the cross-axes interaction, can be defined as [6] = � − � � � −1…”
Section: Diagonal Dominancementioning
confidence: 99%
See 1 more Smart Citation
“…The importance of off-diagonal elements in the matrix , i.e. the cross-axes interaction, can be defined as [6] = � − � � � −1…”
Section: Diagonal Dominancementioning
confidence: 99%
“…Even so, it should be noted that the frequency regions where the errors occurred were mentioned before as unreliable due to noisy measurements. This susceptibility to noise and errors in the determination of the frequency response of the TF matrix is a well known issue of static decoupling [6] and the main reason why it is not recommended for applications in which the system's structure changes over time. As a mean to evaluate the sensitivity of the static decoupling equalizers to changes or errors in the TF matrix, a Monte Carlo type investigation is now presented.…”
Section: Decoupling Equalizer Design and Simulationmentioning
confidence: 99%
“…The inverse model can be directly identified using time domain input-output data of an actual plant or inverted using the identified moving average model. Some estimation algorithms are used to identify the system model, such as the recursive least squares (RLS) algorithm (Rigney et al, 2010) and the RLS extended algorithm (RELS) (Shen et al, 2013(Shen et al, , 2016Zhao et al, 2012) and the state-space model method (Cuyper et al, 2003;Vaes et al, 2007). However, the estimated closed-loop model may be a nonminimum phase (NMP) system due to the sample-andhold link that is universal in a digital control system; thus, its direct inverse model is unstable.…”
Section: Introductionmentioning
confidence: 99%
“…However, how to accurately estimate dynamic models or transfer functions of the REST is a critical issue. Some identification algorithms were employed to estimate dynamic models or transfer functions of the REST, such as the H1 estimator (Guan et al, 2014a, 2014b; Joris et al, 2003), least-squares estimator (Wu et al, 2014; Ziaei and Sepehri, 2000), recursive least-squares algorithm (Zhao et al, 2016a, 2016b) and recursive extended least-squares (RELS) algorithm (Shen et al, 2013a, 2016), adaptive inverse control algorithm (Rigney et al, 2010; Shen et al, 2013b) and state-space model (Joris et al, 2003; Vaes et al, 2007). How to accurately design a stable inverse model using the estimated dynamic model or transfer function is the second critical issue, because the estimated discrete-time model is a non-minimum phase (NMP) system and its direct inverse model is unstable.…”
Section: Introductionmentioning
confidence: 99%