2017
DOI: 10.1109/tase.2016.2542105
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Nonlinear Energy-Based Regulation Control of Three-Dimensional Overhead Cranes

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Cited by 81 publications
(35 citation statements)
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“…xF (16) It shows that the double pendulum gantry crane system is passive and dissipative under the input F(t) and output .…”
Section: Controller Designmentioning
confidence: 99%
“…xF (16) It shows that the double pendulum gantry crane system is passive and dissipative under the input F(t) and output .…”
Section: Controller Designmentioning
confidence: 99%
“…If conditions (25) and (26) hold, _ V (x(t))\0 at x(t) 6 ¼ 0. The above inequalities do not belong to LMI because of the product of unknown matrix or vector variables.…”
Section: Rules Premise Variables Linear Modelmentioning
confidence: 99%
“…The above inequalities do not belong to LMI because of the product of unknown matrix or vector variables. The left and right of inequalities (25) and (26) are multiplied by P À1 , respectively. Let X = P À1 and Q i = K i X , the following LMI conditions can be obtained…”
Section: Rules Premise Variables Linear Modelmentioning
confidence: 99%
“…An error tracking control method was used in [17], for which the error trajectories of the trolley and the payload swing can be prespecified. Some other new complexity control methods have also been put forward to guarantee fast and accurate positioning and effective swing suppression, such as passivity-based control schemes [18][19][20][21] and sliding mode control (SMC) methods [22][23][24]. Regarding unknown inputs, the state and the output vectors of a system can be reconstructed [25].…”
Section: Introductionmentioning
confidence: 99%