1987
DOI: 10.1109/tac.1987.1104567
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An algorithm to find maximal state constraint sets for discrete-time linear dynamical systems with bounded controls and states

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Cited by 150 publications
(84 citation statements)
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“…The resulting controller matches the perceived accelerations until a platform limit is imminent, at which point the platform returns to centre; if the sign of the vehicle acceleration subsequently changes, perception matching resumes. An issue with MPC is the computational burden of doing an optimization at each time step; Dagdelen et al [7] reduce the online computation time using the invariant set method of Gutman and Cwikel [8]. Their initial tests indicated that the transition between full acceleration rendering and the washout phase was too abrupt, and an artificial smoothing of the transition was added.…”
Section: Figure 2 -Tilt Coordination Topologymentioning
confidence: 99%
“…The resulting controller matches the perceived accelerations until a platform limit is imminent, at which point the platform returns to centre; if the sign of the vehicle acceleration subsequently changes, perception matching resumes. An issue with MPC is the computational burden of doing an optimization at each time step; Dagdelen et al [7] reduce the online computation time using the invariant set method of Gutman and Cwikel [8]. Their initial tests indicated that the transition between full acceleration rendering and the washout phase was too abrupt, and an artificial smoothing of the transition was added.…”
Section: Figure 2 -Tilt Coordination Topologymentioning
confidence: 99%
“…[12] (106 vertices, red dots) and the low-complexity set X 11 produced by iteratively applying the method presented in this article (10 vertices, blue circles).…”
Section: Illustrative Examplementioning
confidence: 99%
“…For comparison purposes with other methods in the literature, we also apply the method described in [12] for the computation of the largest controlled invariant set. The method in [12] is based on computing a sequence {Y i } of monotonically increasing controlled invariant sets Y i , using the one-step inverse reachability mapping starting from the singleton set…”
Section: Illustrative Examplementioning
confidence: 99%
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“…Using the polyhedral (and possibly approximated) description S F of S ∞ (Ω), the problem reduces to the computation of the supremal controlled invariant set contained in a given polyhedron. Several algorithms have been proposed for such a computation [9], [2], [6], [12].…”
Section: Computation Of S ∞ (ω D)mentioning
confidence: 99%