2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) 2020
DOI: 10.23919/sice48898.2020.9240411
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ASPR based Adaptive Output Regulation for System with Uncertain Disturbances

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(2 citation statements)
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“…Taking this into consideration, an adaptive output feedback control based on IMP for output regulation for uncertain systems with uncertain disturbances and reference signals has been proposed in [10]. In [10], the uncertain model of disturbances and reference signals is adaptively estimated and the stability of the obtained control system is guaranteed via ASPR-based adaptive output feedback with an appropriate PFC. However, the results in [10] only showed the boundedness of all the signals in the resulting control system.…”
Section: Introductionmentioning
confidence: 99%
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“…Taking this into consideration, an adaptive output feedback control based on IMP for output regulation for uncertain systems with uncertain disturbances and reference signals has been proposed in [10]. In [10], the uncertain model of disturbances and reference signals is adaptively estimated and the stability of the obtained control system is guaranteed via ASPR-based adaptive output feedback with an appropriate PFC. However, the results in [10] only showed the boundedness of all the signals in the resulting control system.…”
Section: Introductionmentioning
confidence: 99%
“…In [10], the uncertain model of disturbances and reference signals is adaptively estimated and the stability of the obtained control system is guaranteed via ASPR-based adaptive output feedback with an appropriate PFC. However, the results in [10] only showed the boundedness of all the signals in the resulting control system. In this paper, we expand the analysis of the resulting control system and show that the convergence of the output tracking error to a small range will be attained with appropriate setting of the design parameters in the adaptive algorithms according to the convergence of the augmented output tracking error.…”
Section: Introductionmentioning
confidence: 99%