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Stability-Preserving Optimization in the Presence of Fast Disturbances
IEEE Transactions on Automatic Control
We present a method to robustly optimize a set of design parameters for a dynamical system which is subject to fast disturbances. These disturbances are themselves parameterized by a finite number of parameters. Robustness is ensured by requiring the disturbance parameters to stay sufficiently far away from critical manifolds in the parameter space, at which the system would lose stability. These manifolds are defined by an algebraic condition on the system trajectories. The closest distance todoi:10.1109/tac.2011.2160029 fatcat:523ei62wezgz3b3dcmvyv2fk6q