Research Article

An Output-Recurrent-Neural-Network-Based Iterative Learning Control for Unknown Nonlinear Dynamic Plants

Figure 3

(a) m a x 𝑡 { 1 , , 2 0 0 } | 𝑒 𝑗 𝑐 ( 𝑡 ) | versus control iteration 𝑗 . (b) m a x 𝑡 { 0 , , 2 0 0 } | 𝑒 𝐼 1 0 , 𝑘 ( 𝑡 ) | versus identification process 𝑘 at the 1 0 t h control iteration. (c) 𝑦 1 0 ( 𝑡 ) (dotted line) and 𝑦 𝑑 ( 𝑡 ) (solid line) versus time 𝑡 at the 10th control iteration. (d) ̂ 𝑦 1 0 ( 𝑡 ) (dotted line) and 𝑦 1 0 ( 𝑡 ) (solid line) versus time 𝑡 at the 1 0 t h control iteration. (e) 𝑢 1 0 ( 𝑡 ) at the 10th control iteration versus time 𝑡 .
545731.fig.003a
(a)
545731.fig.003b
(b)
545731.fig.003c
(c)
545731.fig.003d
(d)
545731.fig.003e
(e)