<div class="csl-bib-body">
<div class="csl-entry">Bertollo, R., Schwegel, M., Kugi, A., & Zaccarian, L. (2024). Integrate-and-Reset Feedback and Feedforward for a Solenoid With Unknown Parameters. <i>IEEE Control Systems Letters</i>, <i>8</i>, 1511–1516. https://doi.org/10.1109/LCSYS.2024.3413360</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/208100
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dc.description.abstract
We propose a hybrid feedback-feedforward control scheme for output current tracking in a solenoid, based on an integrate-and-reset paradigm. The feedback, based on a First-Order Reset Element, produces stabilizing inputs comprising diverging exponentials, inducing an aggressive feedback correction. The feedforward uses a hybrid recursive least-squares method with directional forgetting. The hybrid nature of the control loop allows using non-exponentially stable filters, which preserve the past information, as opposed to the stable filters typically used in the adaptive control literature. We prove stability of both the estimation and the tracking error, also using a novel result on forward invariance of a desirable set where the information matrix evolves. Experimental results confirm the effectiveness of the proposed hybrid control scheme.
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dc.language.iso
en
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dc.publisher
Institute of Electrical and Electronics Engineers (IEEE)
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dc.relation.ispartof
IEEE Control Systems Letters
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dc.subject
Adaptive control
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dc.subject
Covariance matrices
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dc.subject
Feedforward systems
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dc.subject
hybrid dynamical systems
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dc.subject
mechatronic systems
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dc.subject
reset control
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dc.subject
Robustness
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dc.subject
Solenoids
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dc.subject
Symmetric matrices
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dc.subject
Vectors
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dc.title
Integrate-and-Reset Feedback and Feedforward for a Solenoid With Unknown Parameters