最优控制
离散化
控制变量
最大值原理
状态变量
数学
国家(计算机科学)
数学优化
拉格朗日乘数
控制(管理)
非线性规划
控制理论(社会学)
非线性系统
计算机科学
数学分析
算法
热力学
统计
物理
量子力学
人工智能
作者
Laurenz Göllmann,Daniela Kern,H. Maurer
摘要
Abstract Optimal control problems with delays in state and control variables are studied. Constraints are imposed as mixed control–state inequality constraints. Necessary optimality conditions in the form of Pontryagin's minimum principle are established. The proof proceeds by augmenting the delayed control problem to a nondelayed problem with mixed terminal boundary conditions to which Pontryagin's minimum principle is applicable. Discretization methods are discussed by which the delayed optimal control problem is transformed into a large‐scale nonlinear programming problem. It is shown that the Lagrange multipliers associated with the programming problem provide a consistent discretization of the advanced adjoint equation for the delayed control problem. An analytical example and numerical examples from chemical engineering and economics illustrate the results. Copyright © 2008 John Wiley & Sons, Ltd.
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