Title :
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
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;
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
DOI :
10.1109/CHICC.2008.4605837
