huang guo-xian, luo xiao-shu, fang jin-qing. Control of beam halo-chaos using neural network self-adaptation method[J]. High Power Laser and Particle Beams, 2004, 16.
Citation:
huang guo-xian, luo xiao-shu, fang jin-qing. Control of beam halo-chaos using neural network self-adaptation method[J]. High Power Laser and Particle Beams, 2004, 16.
huang guo-xian, luo xiao-shu, fang jin-qing. Control of beam halo-chaos using neural network self-adaptation method[J]. High Power Laser and Particle Beams, 2004, 16.
Citation:
huang guo-xian, luo xiao-shu, fang jin-qing. Control of beam halo-chaos using neural network self-adaptation method[J]. High Power Laser and Particle Beams, 2004, 16.
Taking the advantages of neural network control method for nonlinear complex systems, control of beam halo-chaos in the periodic focusing channels of high intensity accelerators is studied by feed-forward back-propagating neural network selfadaptation method. The envelope radius of highintensity proton beam can reach the matched beam radius by selecting suitable control structure of neural network and the linear feedback coefficient, and adjusting the right-coefficient of neural network. The beam halochaos is obviously suppressed and amplitude shake is largely reduced when the neural network self-adaptation control is applied.