Calculation of the control signal in MIMO NN-based ANARX models: Analytical approach

Author

Belikov, Juri ; Petlenkov, Eduard

Author_Institution

Inst. of Cybern., Tallinn Univ. of Technol., Tallinn

fYear

2008

fDate

17-20 Dec. 2008

Firstpage

2196

Lastpage

2201

Abstract

In this paper, an application of Neural Networks based Additive Nonlinear AutoRegressive eXogenous (NN-ANARX) structure is investigated for modeling and control of nonlinear multi-input-multi-output (MIMO) systems. A novel analytical technique for calculation of control signal is proposed. After that the ANARX-based dynamic output feedback linearization control algorithm is applied for control of nonlinear MIMO systems. The effectiveness of the proposed technique is demonstrated on numerical examples.

Keywords

MIMO systems; autoregressive processes; control system analysis; feedback; linearisation techniques; neurocontrollers; nonlinear control systems; MIMO neural network based ANARX models; additive nonlinear autoregressive exogenous structure; control signal; dynamic output feedback linearization control algorithm; multi input multi output system; Analytical models; Automatic control; Control systems; Linear feedback control systems; MIMO; Mathematical model; Neural networks; Nonlinear control systems; Output feedback; Signal analysis; ANARX model; identification; neural networks; nonlinear control system; output feedback linearization;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on

Conference_Location

Hanoi

Print_ISBN

978-1-4244-2286-9

Electronic_ISBN

978-1-4244-2287-6

Type

conf

DOI

10.1109/ICARCV.2008.4795872

Filename

4795872