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Titlebook: Advances in Neural Networks - ISNN 2007; 4th International Sy Derong Liu,Shumin Fei,Changyin Sun Conference proceedings 2007 Springer-Verla

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Neural Network Based Multiple Model Adaptive Predictive Control for Teleoperation System015 the housing estate surrounding Dickens Orchard included the most deprived area in the city and the 254th most deprived area in the England, placing this area inside the bottom 1% nationally. The findings of this case indicate that forming constructive state-civil society partnerships is importan
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Switching Set-Point Control of Nonlinear System Based on RBF Neural Networkpart of a separate sphere of ‘society’ or ‘culture’ which we construct (by means of language as a tool, not something in which we dwell), pass on (as DNA is passed on — a ‘genealogical’ view) and appropriate (make it one’s property — again a property-based view). With Ingold, we can say that we do n
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Neuro-fuzzy Adaptive Control of Nonlinear Singularly Perturbed Systems and Its Application to a Spacfessionals, that young gay and lesbian persons have to negotiate with, in their process of growing up. These institutions and their actors—including parents, teachers, school authorities, friends, doctors—perform a range of ‘.’ to reshape and mould sexual or gender transgressions of the young LG per
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Takao Terano,Setsuya Kurahashi,Ushio Minamiod control performance. A switching controller which switches among different controller based on different RBFNN is used to adapt the varing set-point value and improve the output reponse and control performance of the nonlinear system.
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Elena Zheleva,Evimaria Terzi,Lise Getoororrective control, and FNN is applied to mimic the equivalent control. In this scheme, the bounds of the uncertainties and the extern disturbance are not required to be known in advance, and the stability of systems is analyzed based on Lyapunov function. Simulation results are given to demonstrate the effectiveness of this scheme.
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