2020
DOI: 10.1504/ijaac.2020.10019766
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Stabilisation of a rotary inverted pendulum system with double-PID and LQR control: Experimental verification

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Cited by 2 publications
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“…Besides, these methods are compared with the classical LOR and LQG techniques which confirm better performance of the proposed methods. In [30], an LQR control scheme decoupled PID control technique is designed in order to stability and balancing control of RIP systems. In [31], a robust LQR controller is presented based on the adaptive fuzzy logic control technique mixed with neural network in the target of stability and balancing control of RIP system.…”
Section: Introductionmentioning
confidence: 99%
“…Besides, these methods are compared with the classical LOR and LQG techniques which confirm better performance of the proposed methods. In [30], an LQR control scheme decoupled PID control technique is designed in order to stability and balancing control of RIP systems. In [31], a robust LQR controller is presented based on the adaptive fuzzy logic control technique mixed with neural network in the target of stability and balancing control of RIP system.…”
Section: Introductionmentioning
confidence: 99%
“…Besides, these methods are compared with the classical LOR and LQG techniques which confirm better performance of the proposed methods. In [27], an LQR control scheme decoupled PID control technique is designed in order to stability and balancing control of RIP systems. In [28], a robust LQR controller is presented based on the adaptive fuzzy logic control technique mixed with neural network in the target of stability and balancing control of RIP system.…”
Section: Introductionmentioning
confidence: 99%