Nonlinear model predictive control from data: a set membership approach

被引：47

作者：

Canale, M. ^{[1
]}

Fagiano, L. ^{[1
,2
]}

Signorile, M. C. ^{[1
]}

机构：

[1] Politecn Torino, Dipartimento Automat & Informat, I-10129 Turin, Italy

[2] Univ Calif Santa Barbara, Dept Mech Engn, Santa Barbara, CA 93106 USA

来源：

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL | 2014年 / 24卷 / 01期

关键词：

predictive control; robust stability; nonlinear control; STABILITY; SYSTEMS;

D O I：

10.1002/rnc.2878

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new approach to design a Nonlinear Model Predictive Control law that employs an approximate model, derived directly from data, is introduced. The main advantage of using such models lies in the possibility to obtain a finite computable bound on the worst-case model error. Such a bound can be exploited to analyze the robust convergence of the system trajectories to a neighborhood of the origin. The effectiveness of the proposed approach, named Set Membership Predictive Control, is shown in a vehicle lateral stability control problem, through numerical simulations of harsh maneuvers. Copyright (c) 2012 John Wiley & Sons, Ltd.

引用

页码：123 / 139

页数：17

共 50 条

[31] Nonlinear model predictive control:: A passivity-based approach
Raff, Tobias
Ebenbauer, Christian
Allgoewer, Frank
ASSESSMENT AND FUTURE DIRECTIONS OF NONLINEAR MODEL PREDICTIVE CONTROL, 2007, 358 : 151 - +
[32] Nonlinear Model Predictive Control Scheme: a Sum of Squares Approach
Franze, Giuseppe
Casavola, Alessandro
Famularo, Domenico
PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, : 8630 - 8635
[33] A direct search approach to optimization for nonlinear model predictive control
Gibson, James D.
OPTIMAL CONTROL APPLICATIONS & METHODS, 2015, 36 (02): : 139 - 157
[34] A switching robust model predictive control approach for nonlinear systems
Yang, Yu
Lee, Jong Min
JOURNAL OF PROCESS CONTROL, 2013, 23 (06) : 852 - 860
[35] A combined approach to nonlinear model predictive control of fast systems
Tamimi, Jasem
Li, Pu
JOURNAL OF PROCESS CONTROL, 2010, 20 (09) : 1092 - 1102
[36] A multiple model approach for predictive control of nonlinear hybrid systems
Nandola, Naresh N.
Bhartiya, Sharad
JOURNAL OF PROCESS CONTROL, 2008, 18 (02) : 131 - 148
[37] A Nonlinear Sum-of-Squares Model Predictive Control Approach
Franze, Giuseppe
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2010, 55 (06) : 1466 - 1471
[38] Nonlinear model predictive control for data center cooling systems
Wei D.
Han S.-R.
Ran Y.-B.
Li B.-Y.
Shi Y.-C.
Xiao Z.-M.
Zhao R.-C.
Kongzhi yu Juece/Control and Decision, 2024, 39 (04): : 1240 - 1250
[39] Model predictive control for nonlinear sampled-data systems
Gruene, L.
Nesic, D.
Pannek, J.
ASSESSMENT AND FUTURE DIRECTIONS OF NONLINEAR MODEL PREDICTIVE CONTROL, 2007, 358 : 105 - +
[40] Set-Membership Filtering Based Model Predictive Control for Trajectory Tracking of Automated Guided Vehicles
Liang, Zhenlong
Hu, Jing
Zhang, Yilian
Fan, Qinqin
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2024, : 3819 - 3829

← 1 2 3 4 5 →