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Cited by 135 publications
(91 citation statements)
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“…The linear optimal control-based algorithm [5] defines the motion cueing as a tracking problem where the perceived simulator motion should track the perceived vehicle motion. A linear quadratic regulator (LQR) calculates the optimal feedback gains to minimise a cost function that penalises perception error, platform excursion and the control input; the relative weighting of these terms is tuned to give the desired behaviour.…”
Section: Figure 1 -Illustration Of Platform Workpace Envelope For Momentioning
confidence: 99%
“…The linear optimal control-based algorithm [5] defines the motion cueing as a tracking problem where the perceived simulator motion should track the perceived vehicle motion. A linear quadratic regulator (LQR) calculates the optimal feedback gains to minimise a cost function that penalises perception error, platform excursion and the control input; the relative weighting of these terms is tuned to give the desired behaviour.…”
Section: Figure 1 -Illustration Of Platform Workpace Envelope For Momentioning
confidence: 99%
“…The main idea of the LQR-based washout filter design is to find a linear transfer matrix W .s/ that minimizes a certain quadratic cost involving the sensation error e and the simulator input u s [7][8][9][15][16][17][18][19][20][21] without allowing the hexapod platform to exceed the simulator constraints as shown in Figure 2. The LQR motion cueing algorithm design should be started with a mathematical model of the human vestibular system.…”
Section: Lqr-based Motion Cueingmentioning
confidence: 99%
“…The second technique is the "optimal algorithm" based on that which was developed by Sivan, et al 4 and later implemented by Reid and Nahon. 5 This algorithm uses higher order filters that are developed, prior to real time application, using optimal control methods.…”
Section: Introductionmentioning
confidence: 99%
“…The previous developments 4,5 centered on a control input for either the longitudinal or lateral mode with linear acceleration and angular displacement as control inputs. Wu 2 developed an approach using linear acceleration and angular acceleration for the longitudinal mode.…”
Section: Introductionmentioning
confidence: 99%