%P 969-974
%T Performance driven reachability analysis for optimal scheduling and control of hybrid systems
%O Proceedings of the 39th IEEE Conference on Decision and Control, Sydney, Australia, 12 - 15 dic 2000 
%I IEEE
%V 1
%A Alberto Bemporad
%A L. Giovanardi
%A Fabio Danilo Torrisi
%K NP hard problem; branch-and-bound; hybrid systems; linear programming; optimal control; piecewise linear systems; quadratic programming; reachability analysis; scheduling; upper bound; computational complexity; linear programming; nonlinear systems; optimal control; quadratic programming; reachability analysis
%D 2000
%L eprints575
%X We deal with the optimal control problem for piecewise linear and hybrid systems by using a computational approach based on performance-driven reachability analysis. The idea consists of coupling a reach-set exploration algorithm, essentially based on a repetitive use of linear programming, to a quadratic programming solver which selectively drives the exploration. In particular, an upper bound on the optimal cost is continually updated during the procedure, and used as a criterion to discern non-optimal evolutions and to prevent their exploration. The result is an efficient strategy of branch-and-bound nature, which is especially attractive for solving long-horizon hybrid optimal control and scheduling problems
%B Decision and Control Conference
%R 10.1109/CDC.2000.912899
%J Proc. 39th IEEE Conf. on Decision and Control