2018
DOI: 10.1016/j.jsv.2017.11.047
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Experimental feedback linearisation of a vibrating system with a non-smooth nonlinearity

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Cited by 8 publications
(7 citation statements)
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“…The stability of the zero dynamics can alternatively be verified using the receptance method with a describing function (DF) approach [21], either using an analytical DF (as in the present case) or by carrying out a series of slow-sweep amplitude-controlled sine-excitation tests. An exposition of the theory of feedback linearisation by the receptance method was recently presented by Zhen et al [22], and the purpose of the present paper is to demonstrate experimentally their findings, using the approach presented in that paper to replicate the closed-loop results already obtained for the three degrees of freedom test-rig with classical feedback linearisation by Lisitano et al [20].…”
Section: Introductionmentioning
confidence: 76%
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“…The stability of the zero dynamics can alternatively be verified using the receptance method with a describing function (DF) approach [21], either using an analytical DF (as in the present case) or by carrying out a series of slow-sweep amplitude-controlled sine-excitation tests. An exposition of the theory of feedback linearisation by the receptance method was recently presented by Zhen et al [22], and the purpose of the present paper is to demonstrate experimentally their findings, using the approach presented in that paper to replicate the closed-loop results already obtained for the three degrees of freedom test-rig with classical feedback linearisation by Lisitano et al [20].…”
Section: Introductionmentioning
confidence: 76%
“…The application of classical input-output partial feedback linearisation was extended to systems with non-smooth nonlinearities by Jiffri et al [18]. Experimental application of the method to the three degrees of freedom system discussed in this paper was successfully achieved by the present authors [19, 20], but significant effort was required to tune the numerical model to an adequate level of accuracy, in both the linear and nonlinear parameters, to successfully achieve the desired closed-loop dynamics. A special case was considered by Lisitano et al [19] whereby control was applied to the same degree of freedom as the nonlinearity.…”
Section: Introductionmentioning
confidence: 88%
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