On the Instant Iterative Learning MPC for Nonlinear Systems

被引：0

作者：

Sato, Kaito ^{[1
]}

Sawada, Kenji ^{[2
]}

Inoue, Masaki ^{[3
]}

机构：

[1] Univ Elect Communicat, Dept Mech & Intelligent Syst Eng, Tokyo, Japan

[2] Univ Elect Communicat, Info Powered Energy Syst Res Ctr, Tokyo, Japan

[3] Keio Univ, Dept Appl Phys & PhysicoInformat, Yokohama, Kanagawa 2238521, Japan

来源：

2020 59TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE) | 2020年

关键词：

Model predictive control; Iterative learning control; continuous optimization;

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：

Model predictive control (MPC) is one of the methods which optimizes the trajectory of the system with the constraints from predicted states of the system. A number of researches have studied its applications, for example, online optimization methods and fast solvers for nonlinear systems, because of its effectiveness. We propose one of the methods to apply online MPC to nonlinear systems based on instant MPC (iMPC). We recast iterative learning MPC (ILMPC) for nonlinear systems as iMPC via the primal-dual gradient algorithm, which we name "i-ILMPC". Finally, a numerical simulation is performed to demonstrate its effectiveness.

引用

页码：1166 / 1171

页数：6

共 50 条

[31] Neural iterative learning identifier-based iterative learning controller for time-varying nonlinear systems
Afsharnia, Fateme
Madady, Ali
Menhaj, Mohammad Bagher
ASIAN JOURNAL OF CONTROL, 2022, 24 (04) : 1998 - 2012
[32] A Fourier series based iterative learning control for nonlinear uncertain systems
Qin, WB
Cai, LL
2001 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS PROCEEDINGS, VOLS I AND II, 2001, : 482 - 487
[33] A unified adaptive iterative learning control framework for uncertain nonlinear systems
Tayebi, Abdelhamid
Chien, Chiang-Ju
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2007, 52 (10) : 1907 - 1913
[34] Iterative Learning Control for Nonlinear Systems: A Bounded-Error Algorithm
Delchev, Kamen
ASIAN JOURNAL OF CONTROL, 2013, 15 (02) : 453 - 460
[35] Iterative Learning Control with Switching Gain PD Feedback for Nonlinear Systems
Ouyang, P. R.
Petz, B. A.
Xi, F. F.
IEEE TIC-STH 09: 2009 IEEE TORONTO INTERNATIONAL CONFERENCE: SCIENCE AND TECHNOLOGY FOR HUMANITY, 2009, : 875 - 880
[36] Iterative Learning Control Design on Nonlinear Time-delay Systems
Zhan Xisheng
PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE, 2010, : 2107 - 2110
[37] Neural-network-based iterative learning control of nonlinear systems
Patan, Krzysztof
Patan, Maciej
ISA TRANSACTIONS, 2020, 98 : 445 - 453
[38] Optimal Iterative Learning Control for Nonlinear Discrete-time Systems
Xu Hong-wei
KEY ENGINEERING MATERIALS AND COMPUTER SCIENCE, 2011, 320 : 605 - 609
[39] Iterative learning control of multivariable uncertain nonlinear systems with nonrepetitive trajectory
Chems Eddine Boudjedir
Djamel Boukhetala
Mohamed Bouri
Nonlinear Dynamics, 2019, 95 : 2197 - 2208
[40] Iterative Learning Control Design for Nonlinear Systems with Reference Trajectory Switching *
Pakshin, Pavel
Emelianova, Julia
Rogers, Eric
Galkowski, Krzysztof
IFAC PAPERSONLINE, 2022, 55 (12): : 488 - 493

← 1 2 3 4 5 →