2019 IEEE 58th Conference on Decision and Control (CDC) 2019
DOI: 10.1109/cdc40024.2019.9030240
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Necessary and sufficient LMI conditions for constraints satisfaction within a B-spline framework

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Cited by 12 publications
(9 citation statements)
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“…This section presents the notions of B-spline curves and their equivalent Bézier representations. The focus is on their definitions, transformations, and further geometrical properties, while more details on both types of curves could be found in the literature [ 11 , 12 , 15 , 18 , 20 , 21 ]. The same notations as in some of the previous work [ 8 , 9 ] is used intentionally, for easy reference.…”
Section: B-spline and Equivalent Bézier Curvesmentioning
confidence: 99%
See 1 more Smart Citation
“…This section presents the notions of B-spline curves and their equivalent Bézier representations. The focus is on their definitions, transformations, and further geometrical properties, while more details on both types of curves could be found in the literature [ 11 , 12 , 15 , 18 , 20 , 21 ]. The same notations as in some of the previous work [ 8 , 9 ] is used intentionally, for easy reference.…”
Section: B-spline and Equivalent Bézier Curvesmentioning
confidence: 99%
“…B-splines have been chosen for their local convexity : Each interval is bounded by the convex hull of the local control points [ 8 , 11 , 12 ]. This leads to the simple rule that the B-spline control boundary , i.e., the convex hull of the B-spline control point, must be fully contained inside the feasible area of the polytope map [ 13 , 14 , 15 ]. The rule has been applied widely in the literature to solve different types of motion planning problems.…”
Section: Introductionmentioning
confidence: 99%
“…A well known problem of discrete-time systems coming from the sampling of continuous-time ones is how to ensure the feasibility of the solutions of the latter by only imposing constraints on the former [8,29,25]. In the case of ICS, this problem is even more difficult to overcome because of the discontinuities in the state trajectories, and it remains still open, although some control strategies were developed to formally tackle the problem [30].…”
Section: Feasibility For Impulsive Control Systemsmentioning
confidence: 99%
“…(5) The final objective of this process is to generate profiles, equivalently stated, to find the control points which meet the constraints (5) and minimize the cost function as in [10]:…”
Section: B Trajectory Generation Problemmentioning
confidence: 99%
“…In [2] and [6] a flat representation and subsequent Bspline parameterization [10] are exploited to construct an optimization problem which, simultaneously, minimizes trajectory length and satisfies various constraints.…”
Section: Introductionmentioning
confidence: 99%