Self-Triggered Distributed Model Predictive Control of Nonholonomic Systems

被引：0
|
作者：
Wang, Wanqing [1 ]
Li, Huiping [1 ]
Yan, Weisheng [1 ]
Shi, Yang [2 ]
机构：
[1] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Shaanxi, Peoples R China
[2] Univ Victoria, Dept Mech Engn, Victoria, BC, Canada
来源：
2017 11TH ASIAN CONTROL CONFERENCE (ASCC) | 2017年
基金：
中国国家自然科学基金;
关键词：
NONLINEAR-SYSTEMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we study the self-triggered distributed model predictive control problem of a class of nonholonomic systems subject to system constraints. A novel self-triggered DMPC algorithm with new sampling selection mechanism is developed. The theoretical results on feasibility of the designed algorithm and the stability of the closed-loop system are provided. A simulation example is offered to verify the effectiveness of the designed approach.
引用
收藏
页码：280 / 285
页数：6
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