A quasi-ARX model for multivariable decoupling control of nonlinear MIMO system

Lan Wang, Yu Cheng, Takayuki Furuzuki

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This paper proposes a multiinput and multioutput (MIMO) quasi-autoregressive eXogenous (ARX) model and a multivariable-decoupling proportional integral differential (PID) controller for MIMO nonlinear systems based on the proposed model. The proposed MIMO quasi-ARX model improves the performance of ordinary quasi-ARX model. The proposed controller consists of a traditional PID controller with a decoupling compensator and a feed-forward compensator for the nonlinear dynamics based on the MIMO quasi-ARX model. Then an adaptive control algorithm is presented using the MIMO quasi-ARX radial basis function network (RBFN) prediction model and some stability analysis of control system is shown. Simulation results show the effectiveness of the proposed control method.

Original languageEnglish
Article number570498
JournalMathematical Problems in Engineering
Volume2012
DOIs
Publication statusPublished - 2012

Fingerprint

Decoupling Control
Multivariable Control
Autoregressive Model
Compensator
Decoupling
Controller
Directly proportional
Controllers
Radial Basis Function Network
Feedforward
Adaptive Algorithm
Adaptive Control
Prediction Model
Nonlinear Dynamics
Network Model
Control Algorithm
Stability Analysis
Radial basis function networks
Nonlinear Systems
Control System

ASJC Scopus subject areas

  • Mathematics(all)
  • Engineering(all)

Cite this

A quasi-ARX model for multivariable decoupling control of nonlinear MIMO system. / Wang, Lan; Cheng, Yu; Furuzuki, Takayuki.

In: Mathematical Problems in Engineering, Vol. 2012, 570498, 2012.

Research output: Contribution to journalArticle

@article{48f08871f55b46fdba1913b832f3ed38,
title = "A quasi-ARX model for multivariable decoupling control of nonlinear MIMO system",
abstract = "This paper proposes a multiinput and multioutput (MIMO) quasi-autoregressive eXogenous (ARX) model and a multivariable-decoupling proportional integral differential (PID) controller for MIMO nonlinear systems based on the proposed model. The proposed MIMO quasi-ARX model improves the performance of ordinary quasi-ARX model. The proposed controller consists of a traditional PID controller with a decoupling compensator and a feed-forward compensator for the nonlinear dynamics based on the MIMO quasi-ARX model. Then an adaptive control algorithm is presented using the MIMO quasi-ARX radial basis function network (RBFN) prediction model and some stability analysis of control system is shown. Simulation results show the effectiveness of the proposed control method.",
author = "Lan Wang and Yu Cheng and Takayuki Furuzuki",
year = "2012",
doi = "10.1155/2012/570498",
language = "English",
volume = "2012",
journal = "Mathematical Problems in Engineering",
issn = "1024-123X",
publisher = "Hindawi Publishing Corporation",

}

TY - JOUR

T1 - A quasi-ARX model for multivariable decoupling control of nonlinear MIMO system

AU - Wang, Lan

AU - Cheng, Yu

AU - Furuzuki, Takayuki

PY - 2012

Y1 - 2012

N2 - This paper proposes a multiinput and multioutput (MIMO) quasi-autoregressive eXogenous (ARX) model and a multivariable-decoupling proportional integral differential (PID) controller for MIMO nonlinear systems based on the proposed model. The proposed MIMO quasi-ARX model improves the performance of ordinary quasi-ARX model. The proposed controller consists of a traditional PID controller with a decoupling compensator and a feed-forward compensator for the nonlinear dynamics based on the MIMO quasi-ARX model. Then an adaptive control algorithm is presented using the MIMO quasi-ARX radial basis function network (RBFN) prediction model and some stability analysis of control system is shown. Simulation results show the effectiveness of the proposed control method.

AB - This paper proposes a multiinput and multioutput (MIMO) quasi-autoregressive eXogenous (ARX) model and a multivariable-decoupling proportional integral differential (PID) controller for MIMO nonlinear systems based on the proposed model. The proposed MIMO quasi-ARX model improves the performance of ordinary quasi-ARX model. The proposed controller consists of a traditional PID controller with a decoupling compensator and a feed-forward compensator for the nonlinear dynamics based on the MIMO quasi-ARX model. Then an adaptive control algorithm is presented using the MIMO quasi-ARX radial basis function network (RBFN) prediction model and some stability analysis of control system is shown. Simulation results show the effectiveness of the proposed control method.

UR - http://www.scopus.com/inward/record.url?scp=84855225603&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84855225603&partnerID=8YFLogxK

U2 - 10.1155/2012/570498

DO - 10.1155/2012/570498

M3 - Article

AN - SCOPUS:84855225603

VL - 2012

JO - Mathematical Problems in Engineering

JF - Mathematical Problems in Engineering

SN - 1024-123X

M1 - 570498

ER -