A novel taylor series based approach for control computation in NN-ANARX structure based control of nonlinear systems

Author

Belikov, Juri ; Vassiljeva, K. ; Petlenkov, Eduard ; Nomm, Sven

Author_Institution

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

fYear

2008

fDate

16-18 July 2008

Firstpage

474

Lastpage

478

Abstract

This paper presents an alternative approach for control computation in a closed loop of discrete-time nonlinear system and NN-ANARX based dynamic output feedback. Proposed technique is based on an application of Taylor series expansion for computation of control directly from neural network based model. Two modifications of the algorithm are proposed for both single-input single-output and multi-input multi-output nonlinear systems. The effectiveness of the proposed approach is demonstrated on numerical examples.

Keywords

MIMO systems; autoregressive moving average processes; closed loop systems; discrete time systems; feedback; neurocontrollers; nonlinear control systems; series (mathematics); NN-ANARX based dynamic output feedback; Taylor series; Taylor series expansion; control computation; discrete-time nonlinear system; multiinput multioutput nonlinear systems; neural networks based additive nonlinear autoregressive exogenous models; Control systems; Convergence; MIMO; Neural networks; Neurons; Newton method; Nonlinear control systems; Nonlinear systems; Output feedback; Taylor series; Linearization; Neural networks; Nonlinear control systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2008. CCC 2008. 27th Chinese

Conference_Location

Kunming

Print_ISBN

978-7-900719-70-6

Electronic_ISBN

978-7-900719-70-6

Type

conf

DOI

10.1109/CHICC.2008.4605837

Filename

4605837