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

页码：280 / 285

页数：6

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