2018
DOI: 10.1007/978-981-13-2291-4_47
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Adaptive Synchronization Control for Dual-Manipulator System Using Finite Time Parameter Estimation

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Cited by 2 publications
(1 citation statement)
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“…In addition, the synchronous control performance of multi-objective systems is affected by model uncertainties and unknown external disturbances. In order to achieve better synchronization control performance, many scholars combine coupling strategies with tracking control methods, such as H control (Wang et al, 2018b), optimal control (El-Sousy and Abuhasel, 2018; Wang et al, 2018a), adaptive control (Gao et al, 2019; Shang et al, 2020), designed the controller and solved the effect of some uncertain disturbances. However, most of the above control methods have weak suppression of unmodeled dynamics and external uncertain disturbances.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the synchronous control performance of multi-objective systems is affected by model uncertainties and unknown external disturbances. In order to achieve better synchronization control performance, many scholars combine coupling strategies with tracking control methods, such as H control (Wang et al, 2018b), optimal control (El-Sousy and Abuhasel, 2018; Wang et al, 2018a), adaptive control (Gao et al, 2019; Shang et al, 2020), designed the controller and solved the effect of some uncertain disturbances. However, most of the above control methods have weak suppression of unmodeled dynamics and external uncertain disturbances.…”
Section: Introductionmentioning
confidence: 99%