Nonlinear Model Predictive Control using Multi-Model Approach Based on Fractal Dimension Measurement

被引：0

作者：

Luo Wenguang ^{[1
]}

Lan Hongli ^{[2
]}

机构：

[1] Guangxi Univ Technol, Dept Elect Informat & Control Engn, Liuzhou, Peoples R China

[2] Guangxi Univ Technol, Dept Comp Engn, Liuzhou, Peoples R China

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 2 | 2009年

关键词：

nonlinear system; switch control; fractal dimension measurement; Euclid norm; multi-model control; ADAPTIVE-CONTROL;

D O I：

10.1109/ICICISYS.2009.5358330

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A nonlinear discrete time system can be locally linearized and represented by a multi-model structure, and model's switching operation will affect system's performances A novel switching strategy is proposed to make the multi-model system satisfy the given performances, namely, Fractal Dimension Measurement (shortened as FDM) of Euclid Norms between working points and the equilibrium point acts as a criterion for switching A model predictive control strategy based on Laguerre functions is designed to make each linear system optimize for a given cost function The simulation results are presented to validate the method

引用

页码：627 / +

页数：2

共 50 条

[1] Laguerre Functions based Nonlinear Model Predictive Control using Multi-Model Approach
Feng, Yong
Wang, Liuping
Luo, Wenguang
IECON 2008: 34TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-5, PROCEEDINGS, 2008, : 198 - +
[2] Multi-model predictive control of nonlinear systems
Zeng, Jing
Xue, Ding-Yu
Yuan, De-Cheng
Dongbei Daxue Xuebao/Journal of Northeastern University, 2009, 30 (01): : 26 - 29
[3] Multi-model predictive control for nonlinear systems based on mixed logic
Institute of Automation, Shanghai Jiaotong University, Shanghai 200240, China
不详
Zidonghua Xuebao, 2007, 2 (188-192):
[4] A Multi-Model Approach to Predictive Control of Induction Motor
Gan, Lu
Wang, Liuping
IECON 2011: 37TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2011, : 1704 - 1709
[5] A multi-model approach for bilinear generalized predictive control
de Oliveira Cavalcanti, Anderson Luiz
Maitelli, Andre Laurindo
Fontes, Adhemar de Barros
ICINCO 2007: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL SPSMC: SIGNAL PROCESSING, SYSTEMS MODELING AND CONTROL, 2007, : 289 - +
[6] Advanced control schemes using multi-model approach for nonlinear processes
Abu-Ayyad, Ma'moun
Dubay, Rickey
2008 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-4, 2008, : 153 - 157
[7] A multi-model structure for model predictive control
Di Palma, F
Magni, L
ANNUAL REVIEWS IN CONTROL, 2004, 28 (01) : 47 - 52
[8] Robust multi-model predictive control using LMIs
Paola Falugi
Sorin Olaru
Didier Dumur
International Journal of Control, Automation and Systems, 2010, 8 : 169 - 175
[9] Robust Multi-model Predictive Control Using LMIs
Falugi, Paola
Olaru, Sorin
Dumur, Didier
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2010, 8 (01) : 169 - 175
[10] MULTI-MODEL MODELLING AND PREDICTIVE CONTROL BASED ON LOCAL MODEL NETWORKS
Xue, Z. K.
Li, S. Y.
CONTROL AND INTELLIGENT SYSTEMS, 2006, 34 (02)

← 1 2 3 4 5 →