1993
DOI: 10.1007/bf00939876
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Complex differential games of pursuit-evasion type with state constraints, part 1: Necessary conditions for optimal open-loop strategies

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Cited by 54 publications
(17 citation statements)
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“…In the scientific literature, some special, structural characteristics of zero-sum games are responsible of a number of singular surfaces. For instance, state constraints can yield afferent and universal surfaces [8]. Nonsmooth data (e.g., a discontinuous thrust) can be responsible of discontinuities in the right hand side of the state equations and transition surfaces can arise [8].…”
Section: Formulation Of the Zero-sum Dynamic Gamementioning
confidence: 99%
See 2 more Smart Citations
“…In the scientific literature, some special, structural characteristics of zero-sum games are responsible of a number of singular surfaces. For instance, state constraints can yield afferent and universal surfaces [8]. Nonsmooth data (e.g., a discontinuous thrust) can be responsible of discontinuities in the right hand side of the state equations and transition surfaces can arise [8].…”
Section: Formulation Of the Zero-sum Dynamic Gamementioning
confidence: 99%
“…For instance, state constraints can yield afferent and universal surfaces [8]. Nonsmooth data (e.g., a discontinuous thrust) can be responsible of discontinuities in the right hand side of the state equations and transition surfaces can arise [8]. Furthermore, control variables that appear linearly in the dynamics equations usually yield singular surfaces of several kinds [1].…”
Section: Formulation Of the Zero-sum Dynamic Gamementioning
confidence: 99%
See 1 more Smart Citation
“…Particularly surfaces with discontinuities of the value function, so-called barriers, are not detected by the proposed numerical method. Hence one has to check a posteriori if calculated trajectories intersect such barriers [Breitner, Pesch and Grimm, 1993].…”
Section: Extension To Nonlinear Robust Optimal Semiactive Control Strmentioning
confidence: 99%
“…The former reduce the problem to a sequence of finite dimensional optimization problems through discretization [8], whereas the latter solves the Isaacs partial differential equation with boundary conditions using, e.g., multiple shooting [9,10], collocation [11,12], or level-set methods [3,13].…”
Section: Introductionmentioning
confidence: 99%