2019
DOI: 10.1016/j.ifacol.2019.12.061
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A sampled-data extremum-seeking approach for accurate setpoint control of motion systems with friction

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Cited by 4 publications
(7 citation statements)
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“…In the remainder of this article, we opt for a linear spline basis function parameterization of k i (t), as illustrated in Example 2, as it yields a continuous control signal. In contrast, the steplike basis function parameterization, as illustrated in Example 1 and used in [24], results in discontinuities in the control signal, risking excitation of high-frequency system dynamics, which is also a well-known problem in reset control and impulsive control strategies developed for the control of frictional systems.…”
Section: Example 1 [24]mentioning
confidence: 99%
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“…In the remainder of this article, we opt for a linear spline basis function parameterization of k i (t), as illustrated in Example 2, as it yields a continuous control signal. In contrast, the steplike basis function parameterization, as illustrated in Example 1 and used in [24], results in discontinuities in the control signal, risking excitation of high-frequency system dynamics, which is also a well-known problem in reset control and impulsive control strategies developed for the control of frictional systems.…”
Section: Example 1 [24]mentioning
confidence: 99%
“…In particular, k i (t) then satisfies k i ≤ k i (t) ≤ k i , with k i = −0.2 × 10 8 , and k i = 1.2×10 8 . The augmented objective function is then given by Q(u) := Q(u) + μB(u) (24) with Q(u) as in (14), μ = 1 × 10 −4 the barrier parameter, and the logarithmic barrier function B given by…”
Section: B Controller Settings and Esc-based Optimal Tuningmentioning
confidence: 99%
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