Min-max feedback model predictive control for constrained linear systems

被引：639
|
作者：
Scokaert, POM
Mayne, DQ
机构：
[1] Univ Wisconsin, Dept Chem Engn, Madison, WI 53706 USA
[2] Univ London Imperial Coll Sci Technol & Med, Dept Elect & Elect Engn, London SW7 2BT, England
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 1998年 / 43卷 / 08期
关键词：
feedback; min-max optimization; model predictive control;
D O I：
10.1109/9.704989
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Min-max feedback formulations of model predictive control are discussed, both in the fixed and variable horizon contexts. The control schemes the authors discuss introduce, in the control optimization, the notion that feedback is present in the receding-horizon implementation of thf control. This leads to improved performance, compared to standard model predictive control, and resolves the feasibility difficulties that arise with the min-max techniques that are documented in the literature. The stabilizing properties of the methods are discussed as well as some practical implementation details.
引用
收藏
页码：1136 / 1142
页数：7
相关论文
共 50 条
  • [1] Networked min-max model predictive control of constrained nonlinear systems with delays and packet dropouts
    Li, Huiping
    Shi, Yang
    INTERNATIONAL JOURNAL OF CONTROL, 2013, 86 (04) : 610 - 624
  • [2] The Explicit Constrained Min-Max Model Predictive Control of a Discrete-Time Linear System With Uncertain Disturbances
    Gao, Yu
    Chong, Kil To
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2012, 57 (09) : 2373 - 2378
  • [3] Min-max piecewise constant optimal control for multi-model linear systems
    Miranda, Felix A.
    Castanos, Fernando
    Poznyak, Alexander
    IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION, 2016, 33 (04) : 1157 - 1176
  • [4] Sufficient Conditions for Complexity Reduction in Min-Max Control of Constrained Uncertain Linear Systems
    Chuang, Frank
    Borrelli, Francesco
    2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 5188 - 5193
  • [5] Feedback min-max model predictive control using robust one-step sets
    Cychowski, Marcin T.
    O'Mahony, Tom
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2010, 41 (07) : 813 - 823
  • [6] Min-max optimal control of linear systems with uncertainty and terminal state constraints
    Wu, Changzhi
    Teo, Kok Lay
    Wu, Soonyi
    AUTOMATICA, 2013, 49 (06) : 1809 - 1815
  • [7] Min-max Model Predictive Control for Biaxial Feed Drive System
    Gao, Yu
    Zhang, Yuanliang
    Chong, Kil To
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 769 - 773
  • [8] Towards the practical implementation of min-max nonlinear model predictive control
    Raimondo, D. M.
    Alamo, T.
    Limon, D.
    Camacho, E. F.
    PROCEEDINGS OF THE 46TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14, 2007, : 5965 - +
  • [9] Formulation of min-max model predictive control as a box-constrained robust least squares estimation problem
    Jetto, L.
    Orsini, V
    IFAC PAPERSONLINE, 2020, 53 (02): : 7077 - 7084
  • [10] Improved constrained min-max optimization for MPC tracking control in industrial networked process systems
    Tao, Jili
    Bai, Yang
    Chen, Zhuoyi
    Li, Haisheng
    Wu, Feng
    MEASUREMENT & CONTROL, 2023, 56 (1-2) : 114 - 123
12345