We consider the navigation problem for simple vehicle amidst static and dynamic constraints. Refe... more We consider the navigation problem for simple vehicle amidst static and dynamic constraints. Reference trajectory is supposed to be obtained by the planner and we need to generate control that solves the path following problem. For this purpose, two approaches are used: the model predictive control and flatness-based method. Results of the conducted computational experiments show the best value of the performance with and without continuous random noise flatness-based regulator.
2019 Twelfth International Conference "Management of large-scale system development" (MLSD)
We consider the navigation problem for simple vehicle amidst static and dynamic constraints. Refe... more We consider the navigation problem for simple vehicle amidst static and dynamic constraints. Reference trajectory is supposed to be obtained by the planner and we need to generate control that solves the path following problem. For this purpose, two approaches are used: the model predictive control and flatness-based method. Results of the conducted computational experiments show the best value of the performance with and without continuous random noise flatness-based regulator.
We consider the navigation problem for simple vehicle amidst static and dynamic constraints. Refe... more We consider the navigation problem for simple vehicle amidst static and dynamic constraints. Reference trajectory is supposed to be obtained by the planner and we need to generate control that solves the path following problem. For this purpose, two approaches are used: the model predictive control and flatness-based method. Results of the conducted computational experiments show the best value of the performance with and without continuous random noise flatness-based regulator.
2019 Twelfth International Conference "Management of large-scale system development" (MLSD)
We consider the navigation problem for simple vehicle amidst static and dynamic constraints. Refe... more We consider the navigation problem for simple vehicle amidst static and dynamic constraints. Reference trajectory is supposed to be obtained by the planner and we need to generate control that solves the path following problem. For this purpose, two approaches are used: the model predictive control and flatness-based method. Results of the conducted computational experiments show the best value of the performance with and without continuous random noise flatness-based regulator.
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Papers by Julia Belinskaya