2019
DOI: 10.1007/s11044-019-09695-z
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A geometric optimization method for the trajectory planning of flexible manipulators

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Cited by 24 publications
(20 citation statements)
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“…[2019] (120) In feedforward control, the adjustment of the controlled variable is not based on error. It is based upon the knowledge of the process being controlled gained through either the mathematical model or the measurements.…”
Section: Continued On Next Pagementioning
confidence: 99%
“…[2019] (120) In feedforward control, the adjustment of the controlled variable is not based on error. It is based upon the knowledge of the process being controlled gained through either the mathematical model or the measurements.…”
Section: Continued On Next Pagementioning
confidence: 99%
“…[2019] (128) tried to optimize the trajectory of flexible manipulators using the geometric optimization method and feedforward control action. They also tried to modify the real-time trajectory of such robots based on their research.…”
Section: Trajectory Control Of Flexible Manipulatorsmentioning
confidence: 99%
“…A first comparison of the boundary value problem approach with the optimal control problem is performed in [2], where it is proven that the solution of the optimal control problem converges to the solution of the boundary value problem as pre-and postactuation time goes to infinity. The methodology is applied to several flexible multibody systems in [15].…”
Section: Introductionmentioning
confidence: 99%