2001
DOI: 10.1007/3-540-45351-2_11
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On the Decidability of the Reachability Problem for Planar Differential Inclusions

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Cited by 33 publications
(53 citation statements)
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“…The tool implements the algorithm published in [6] which is based on the analysis of a finite number of qualitative behaviors generated by a discrete dynamical system characterized by positive affine Poincaré maps. Since the number of such behaviors may be extremely big, the tool uses several powerful heuristics that exploit the topological properties of planar trajectories for considerably reducing the set of actually explored signatures.…”
Section: Discussionmentioning
confidence: 99%
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“…The tool implements the algorithm published in [6] which is based on the analysis of a finite number of qualitative behaviors generated by a discrete dynamical system characterized by positive affine Poincaré maps. Since the number of such behaviors may be extremely big, the tool uses several powerful heuristics that exploit the topological properties of planar trajectories for considerably reducing the set of actually explored signatures.…”
Section: Discussionmentioning
confidence: 99%
“…The SPDI isẋ ∈ ∠ bP aP for x ∈ P , where ∠ b a denotes the angle on the plane between the vectors a and b. In [6] we have proved that (point-to-point, edge-to-edge and polygon-to-polygon) reachability is decidable and we have proposed a decision procedure that exploits the topological properties of the plane. Our procedure is not based on the computation of the reach-set but rather on the exploration of a finite number of types of qualitative behaviors obtained from the edge-signatures of trajectories (i.e., the sequences of their intersections with the edges of the polygons).…”
Section: Introductionmentioning
confidence: 99%
“…However, it was proved that edges which are entry-only in one region, and exit-only in the other result in matching induced directions: e ∈ E d (H) or e −1 ∈ E d (H), but not both [ASY01,MP93]. In an SPDI satisfying goodness, the only case where one can have both e and e −1 is when e is an entry-only (or exit-only) edge in both adjacent regions it belongs to.…”
Section: Assumptionmentioning
confidence: 99%
“…The following analysis, taken from [ASY01], allows us to calculate the behaviour of cycles provided that the path along the cycle has a normal (not inverted) TAMF. Since, in good SPDIs, the TAMF between a pair of edges is normal, and the composition of two normal TAMFs is itself a normal TAMF, this approach is universally applicable as long as the goodness assumption holds.…”
Section: Corollary 1 the Composition Of Two Inverted Tamfs Gives A Nmentioning
confidence: 99%
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