Quantized and Networked Predictive Control for Input-Saturated Systems

被引：0

作者：

Zou Yuanyuan ^{[1
]}

Chen Bei ^{[1
]}

Jia Tinggang ^{[1
]}

Niu Yugang ^{[1
]}

机构：

[1] E China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

来源：

2011 30TH CHINESE CONTROL CONFERENCE (CCC) | 2011年

关键词：

Predictive Control; Quantization; Multirate; Constraints; Stability; H-INFINITY CONTROL; DELAY; STABILIZATION; STABILITY;

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：

This paper investigates the problem of stabilizing predictive control for constrained systems with quantization and communication delays. Based on the quantization matrix, the input-saturated control systems with logarithmic quantizers are described as constrained control systems with structured norm-bounded uncertainties. A quantized and networked predictive control algorithm is presented by using a multirate delay compensation strategy. It is shown that the proposed predictive controller not only efficiently reduces the negative effects of the quantization and communication delays but also guarantees the closed-loop stability and constraints satisfaction. The simulation example shows the effectiveness of the derived method.

引用

页码：4633 / 4638

页数：6

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