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2017
DOI: 10.1007/bf03404746
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Inverse-Dynamics Particle Swarm Optimization for Spacecraft Minimum-Time Slew Maneuvers with Constraints

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Cited by 3 publications
(2 citation statements)
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“…In the years 2014 and 2015, Dell'Elce and Kerschen [55][56][57] improved their optimal control algorithm based on model predictive control (MPC) in three successive publications. In 2015, Spiller et al [58][59][60] proposed an approach to search the suitable solution space using inverse particle swarm optimization (iPSO). Mazal et al [61] included (bounded) uncertainties in the drag acceleration in the development of controller for rendezvous maneuvers in 2016.…”
Section: Rendezvous Scenariomentioning
confidence: 99%
“…In the years 2014 and 2015, Dell'Elce and Kerschen [55][56][57] improved their optimal control algorithm based on model predictive control (MPC) in three successive publications. In 2015, Spiller et al [58][59][60] proposed an approach to search the suitable solution space using inverse particle swarm optimization (iPSO). Mazal et al [61] included (bounded) uncertainties in the drag acceleration in the development of controller for rendezvous maneuvers in 2016.…”
Section: Rendezvous Scenariomentioning
confidence: 99%
“…The satellites' optimal attitude reorientation is evaluated by the implemented Inverse Dynamics Particle Swarm Optimization (IPSO), which was extensively validated in previous works and perfectly adapts to the problem here considered Spiller et al, , 2017aSpiller, 2018).…”
Section: Introductionmentioning
confidence: 99%