Online model predictive control for max-plus linear systems with selective parameters

被引：0
|
作者：
Goto, H [1 ]
Masuda, S
机构：
[1] Japan Res Inst Ltd, Tokyo 1020082, Japan
[2] Tokyo Metropolitan Inst Technol, Hino, Tokyo 1910065, Japan
来源：
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2004年 / E87A卷 / 11期
关键词：
max-plus linear system; selective parameter; model predictive control; branch-and-bound method;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
We develop an algorithm for a controller design method for Max-Plus Linear (MPL) systems with selective parameters. Since the conventional algorithm we proposed requires high computational load when the prediction horizon is large, two methods for reducing the calculation time are proposed. One is based upon the branch-and-bound method, and the other is to reuse the optimal solution. The effectiveness of these two methods is confirmed through numerical simulation.
引用
收藏
页码：2944 / 2949
页数：6
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