论文摘要
A novel smoothing method based on control vector parameterization technique for solving nonlinear optimal control problems with inequality constraints is developed in this paper. The proposed algorithm discretizes the original nonlinear optimal control problem by using parametization quadratic penalty function and smoothing function. The nonlinear optimal control problems with inequality path constraints can be converted into vector parameterization by adjusting penalty factors. The equivalence of the transformation for optimal control problem with inequality path constraints is proved. The theorems show the proposed smoothing method for nonlinear optimal control problems is effective.
论文目录
文章来源
类型: 国际会议
作者: LI Xingke,CHEN Xuesong,CAI Shuting
来源: 第31届中国控制与决策会议 2019-06-03
年度: 2019
分类: 基础科学
专业: 数学
单位: School of Applied Mathematics, Guangdong University of TechnologySchool of Automation, Guangdong University of Technology
分类号: O232
页码: 47-50
总页数: 4
文件大小: 159k
下载量: 3