LAUSR

We formulate a controlled dynamic model with a boundary-value problem of minimizing a sensitivity function under constraints. Solution of boundary-value problem implicitly defines a terminal condition for the dynamic model. In the model, a unique trajectory corresponds to each control taken from a bounded set. The problem is to select the control such that the corresponding trajectory takes an object from an arbitrary initial state to the terminal state. In this paper, the dynamic model is treated as a problem of stabilization, and the terminal state of the object is interpreted as a state of equilibrium. If under the influence of external disturbances the object loses equilibrium then this object is returned back by selecting the appropriate control. A saddle-point method for solving problem is proposed. We prove its convergence to solution of the problem in all the variables.