RT Journal Article ID 66f3aece17799af4 A1 Rudenko, Oleg G. A1 Bezsonov, Alexander A. T1 Predictive Control of Nonlinear Objects Using Evolving Feedforward Neural Networks JF Journal of Automation and Information Sciences JO JAI(S) YR 2015 FD 2016-01-28 VO 47 IS 12 SP 18 OP 28 K1 predictive control K1 neural networks K1 nonlinear object control K1 recursive prediction K1 genetic algorithm AB The development of a method of nonlinear objects control with the evolving feedforward neural networks is considered. The neural networks are used to build a nonlinear model of the object which is then utilized for recursive prediction of the object behavior in the model predictive control system. Genetic algorithms used for the neural network training significantly speed up the training process. The simulation results confirm the effectiveness of the proposed control method. PB Begell House LK https://www.dl.begellhouse.com/journals/2b6239406278e43e,3bbc2c07078517f7,66f3aece17799af4.html