Gradient Estimation Based Multi-functional Optimization of Dynamical Systems

被引：0

作者：

Toyoda, Mitsuru ^{[1
]}

Shen, Tielong ^{[1
]}

机构：

[1] Sophia Univ, Dept Engn & Appl Sci, Tokyo 1028554, Japan

来源：

IFAC PAPERSONLINE | 2016年 / 49卷 / 11期

关键词：

Multiobjective optimisations; Dynamic systems; Optimal control; Automotive control; Numerical solutions; MULTIOBJECTIVE OPTIMIZATION; FRONT;

D O I：

10.1016/j.ifacol.2016.08.101

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 multi-functional optimization algorithm for dynamical systems is proposed in this paper. The problem is formulated as a receding horizon control problem, and the current, control is updated by using the gradient, estimation of functionals. In order to achieve the Pareto optimality, the input is improved along the Pareto descent direction, which is given by solving the linear programming problem. As a practical example, the application on the engine simulator is conducted, and the optimization problem, whose torque and emission of NOx are chosen as the objective functionals, is considered. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：696 / 701

页数：6

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