Gradient Algorithms for Optimal Impulsive Control

We consider an optimal control problem for a measure-driven dynamic system under constraint on the total variation of a control measure. Parent algorithms based on weak variation of control are employed to solve a reduced optimal control problem with bounded controls. By applying discontinuous time reparameterization technique we translate the parent methods to formulate new algorithms for optimal impulsive control. The methods' properties are investigated. An example is given.