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MINIMAL EFFORT PROBLEMS AND THEIR TREATMENT BY SEMISMOOTH NEWTON METHODS

机译:最小努力问题及其通过半光滑牛顿法的处理

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The paper introduces minimum effort control problems. These provide an answer to the question of the smallest possible control bound which still allows us to drive the system to a target within a fixed time T. This is a counterpart to the time optimal control problem which minimizes the time required to drive the system to the target, given a control bound. The problem is formulated as an optimal control problem with pointwise constraint on the control. The necessary conditions of optimality are derived by Lagrange multiplier theory. The semismooth Newton method is applied to a properly regularized problem. Well-posedness and superlinear convergence of the semismooth Newton method are proved for linear control systems under a controllability condition. Numerical results are presented for demonstrating the applicability and feasibility of the proposed method.
机译:本文介绍了最小努力控制问题。这些提供了对最小可能控制范围问题的答案,该问题仍然允许我们在固定时间T内将系统驱动到目标。这与时间最佳控制问题相对应,该问题使驱动系统到给定控制界限的目标。该问题被表述为对控制具有逐点约束的最优控制问题。拉格朗日乘数理论推导了最优性的必要条件。半光滑的牛顿法适用于适当正则化的问题。在可控制性条件下,证明了线性控制系统的半光滑牛顿法的适定性和超线性收敛性。数值结果表明了该方法的适用性和可行性。

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