Model Predictive Control for Linear Systems Under Relaxed Constraints

被引：8
|
作者：
Rakovic, Sasa V. V. [1 ]
Zhang, Sixing [1 ]
Sun, Haidi [1 ]
Xia, Yuanqing [1 ]
机构：
[1] Beijing Inst Technol, Beijing 100081, Peoples R China
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2023年 / 68卷 / 01期
关键词：
Linear systems; Proposals; Costs; Blood pressure; model predictive control; relaxed constraints; STABILITY;
D O I：
10.1109/TAC.2021.3137085
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 article considers model predictive control (MPC) for linear systems under relaxed constraints. The main novelty of our proposal is the introduction, and an adequate use, of the terminal dynamics of the slack variable associated with relaxed constraints. The proposed MPC under relaxed constraints retains computational efficiency of the traditional MPC, while it guarantees positive invariance and exponential stability over an enlarged domain of attraction. The design method is also illustrated in a step-by-step manner by an academic example.
引用
收藏
页码：369 / 376
页数：8
相关论文
共 50 条
12345