Optimal control for networked control systems with stochastic data dropout

被引：0

作者：

Yamamoto, Naohiro ^{[1
]}

Zanma, Tadanao ^{[1
]}

Liu, KangZhi ^{[1
]}

机构：

[1] Chiba Univ, Grad Sch Engn, Div Artificial Syst Sci, Inage Ku, Chiba 2638522, Japan

来源：

39TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2013) | 2013年

关键词：

PREDICTIVE CONTROL; DELAYS;

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：

Data dropout in networked control systems (NCSs) is unavoidable. The desired performance may not be achieved if the data dropout is not considered. Therefore, a controller in the NCS needs to be designed which takes the data dropout into account. In this paper, the data dropout is assumed to follow a stochastic process. For the NCS, a model predictive control (MPC) method is proposed for the design of an optimal input sequence. The effectiveness of the proposed method is verified through simulations and experiments.

引用

页码：5662 / 5667

页数：6

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