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A Fuzzy-Neural Adaptive Iterative Learning Control for Freeway Traffic Flow Systems

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Figure

Fig. 1.r5 ( t  )versus time ,ρ 15 , ) versus time · · · , 5 0 0 t(solid ,{� }line)at the 5th control iteration; (e)· · · 0 (d)and( tj ∈{(dotted 0ρline)5◦( ) and ,5d 7 ( t  )versus◦◦timed 7 ( t  ) � ����� 1, −θ Θ +ρ(dotted lines) versus time 7( t  ) ρt 1 , · · ·7 7( , t 1 0 0 } ∈ )at the 5th control iteration; (f) ;7575 ( t  )(  t )1 t ∈{ 1 , | 2 , · · · , 5 0 0��sus control iteration(a) sj 4( t  )versus time t ; (b)ma x t ∈{ 1 , · · · 5 0 0 } � ��|  e jφ 7( t  )ver- j ; (c)e5 7( t  )(solid line) and θ5 7( t  ) Θ57(  t )+ } .

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