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Application of a parametrization method to problem of optimal control

机译:参数化方法在最优控制问题中的应用

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摘要

A new approach to the problem of optimal control of linear dynamic systems is proposed that makes use of a method of input and state parametrization to transform the original problem into a problem of the Calculus of Variations. In contrast to the standard approaches for this class of problems, two salient features of the new approach are that no Lagrange multiplier functions need to be invoked and that the class of inputs can be restricted to the - relatively small - class of continuous functions, even for problems with fixed end-states. The resulting necessary conditions of optimality, i.e., the Euler-Lagrange equation and the boundary conditions for the transformed problem, are proved to be equivalent to those resulting from the standard method of First Variations. In case of quadratic cost functionals, the new approach provides a simpler alternative to the well known, but equally difficult, Riccati differential equation approach and results in a simple dynamic state-feedback implementation of the optimal control.
机译:提出了一种解决线性动态系统最优控制问题的新方法,该方法利用输入和状态参数化方法将原始问题转化为微积分问题。与此类问题的标准方法相比,新方法的两个显着特征是不需要调用拉格朗日乘数函数,并且输入的类别可以限制为相对较小的连续函数类别,甚至对于最终状态固定的问题。结果证明了最优性的必要必要条件,即Euler-Lagrange方程和变换后的问题的边界条件,与标准的“第一变体”方法等效。在二次成本函数的情况下,新方法为众所周知但同样困难的Riccati微分方程方法提供了一种更简单的替代方法,并导致了最优控制的简单动态状态反馈实现。

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  • 来源
    《Journal of the Franklin Institute》 |2011年第9期|p.2390-2405|共16页
  • 作者

    S.A. Deshpande; S.D. Agashe;

  • 作者单位

    Laboratoire d'Automatique, Ecole Polytechnique Federate de Lausanne, CH-1015 Lausanne, Switzerland;

    Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai MH-400076, India;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 02:57:59

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