2014
DOI: 10.1016/j.isatra.2013.09.023
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Linear active disturbance rejection control of underactuated systems: The case of the Furuta pendulum

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Cited by 137 publications
(53 citation statements)
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“…In 2014, Huang used the same method to convert a multiorder state space system [28]. In 2014, Ramírez-Neria utilized the decoupling property of the object model and decomposed it into the cascaded connection of two independent blocks [29]. (2) Some ADRC applications were limited to the control system with an implicit cascaded 2 Mathematical Problems in Engineering integral form, such as the differential equation, rational proper fraction, or state space form, as shown in [12,13,26,30].…”
Section: Introductionmentioning
confidence: 99%
“…In 2014, Huang used the same method to convert a multiorder state space system [28]. In 2014, Ramírez-Neria utilized the decoupling property of the object model and decomposed it into the cascaded connection of two independent blocks [29]. (2) Some ADRC applications were limited to the control system with an implicit cascaded 2 Mathematical Problems in Engineering integral form, such as the differential equation, rational proper fraction, or state space form, as shown in [12,13,26,30].…”
Section: Introductionmentioning
confidence: 99%
“…However, compared with the traditional ADRC method which is nonlinear, a linear active disturbance rejection control (LADRC) method has also been developed for controller design. The experiment results of [17,18,19,20,21] which used linear ADRC method all have achieved good results. In this paper, we clarify and analysis the structure differences, characteristic differences etc.…”
Section: Introductionmentioning
confidence: 93%
“…If a 1 (a 2 ) oṙa 1 (̇a 2 ) is bounded, the scope of a 1 (a 2 ) can be estimated by LESO1 (LESO2) with bounded estimation error [22]. If 1 and 2 are selected that make the observer dynamics faster than the system, for instance, 1 = (3 − 5) 1n and 2 = (3 − 5) 2n as suggested [24] z 11 , z 12 , z 13 , z 14 and z 15 , the states of the observer LESO1 whose input is F 1 and z 21 , z 22 and z 23 , the states of the observer LESO2 whose input is F 2 will track the states F 1 ,Ḟ 1 ,…”
Section: Stabilization Via Adrcmentioning
confidence: 99%