DocumentCode :
2575737
Title :
Convex enclosures for the reachable sets of nonlinear parametric ordinary differential equations
Author :
Scott, Joseph K. ; Barton, Paul I.
Author_Institution :
Dept. of Chem. Eng., MIT, Cambridge, MA, USA
fYear :
2010
fDate :
15-17 Dec. 2010
Firstpage :
5695
Lastpage :
5700
Abstract :
This article describes convex enclosures for the reachable sets of nonlinear parametric ordinary differential equations (ODEs). Such equations arise from the control parametrization of nonlinear control systems, and the computation of reachable sets for such systems is central to many control and verification problems. The method presented computes convex and concave relaxations of the ODE solutions with respect to the parameters, which are then used to compute a convex enclosure of the reachable set. This enclosure is expressed as an infinite intersection of halfspaces, so that a convex polyhedral enclosure of the reachable set can be computed by considering any finite m of these halfspaces. The method requires the solution of m dynamic optimization problems which are guaranteed to be convex, even when the reachable set is itself nonconvex.
Keywords :
concave programming; convex programming; dynamic programming; nonlinear control systems; nonlinear differential equations; set theory; concave relaxation; control parametrization; convex enclosure; convex polyhedral enclosure; convex relaxation; dynamic optimization problem; infinite intersection; nonlinear control system; nonlinear parametric ordinary differential equation; reachable set; Approximation methods; Differential equations; Equations; Inductors; Nonlinear control systems; Nonlinear dynamical systems; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
ISSN :
0743-1546
Print_ISBN :
978-1-4244-7745-6
Type :
conf
DOI :
10.1109/CDC.2010.5717641
Filename :
5717641
Link To Document :
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