Smoothing Method For Nonlinear Optimal Control Problems With Inequality Path Constraints

被引：0
|
作者：
Li Xingke
Chen Xuesong [1 ]
Cai Shuting [2 ]
机构：
[1] Guangdong Univ Technol, Sch Appl Math, Guangzhou 510006, Peoples R China
[2] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
来源：
PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年
关键词：
Nonlinear optimal control; smoothing method; parameterization; penalty function;
D O I：
10.1109/ccdc.2019.8832621
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：5350 / 5353
页数：4
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