In this paper we study numerically solving optimal control problems with bang-bang control functions. We present a formal Lagrangian approach for solving the optimal control problem, and address difficulties encountered when numerically solving the state and adjoint equations by using the immersed interface method. We note that our numerical approach does not approximate the discontinuous control function with smooth functions, instead we solve the true bang-bang optimal control problem. Our approach for solving the optimal control problem uses an adjoint-based gradient. We use the gradient in our first-order trust-region method to generate a local minimizing control. We present detailed numerical results to demonstrate the effectiveness of our method.
翻译:在本文中,我们研究如何用数字方法解决最优控制问题,用冲撞控制功能。我们提出了一个正式的拉格朗格办法,以解决最佳控制问题,并用浸泡界面方法解决在数字上解决状态方程式和连接方程式时遇到的困难。我们注意到,我们的数字方法没有将不连续控制功能与平滑功能相近,而是解决真正的冲撞最佳控制问题。我们解决最佳控制问题的方法使用了基于联合的梯度。我们使用第一级信任区域方法中的梯度来形成局部最小化控制。我们提出了详细的数字结果,以证明我们方法的有效性。