2021
DOI: 10.3390/math9233076
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ILC for Non-Linear Hyperbolic Partial Difference Systems

Abstract: This paper discusses the iterative learning control problem for a class of non-linear partial difference system hyperbolic types. The proposed algorithm is the PD-type iterative learning control algorithm with initial state learning. Initially, we introduced the hyperbolic system and the control law used. Subsequently, we presented some dilemmas. Then, sufficient conditions for monotone convergence of the tracking error are established under the convenient assumption. Furthermore, we give a detailed convergenc… Show more

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Cited by 2 publications
(4 citation statements)
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“…According to the Proposition 1, Lemma 1, and because ||e k (., 0)|| L 2 → 0 when k → ∞ we get ||e k (., 1)|| L 2 → 0 when k → ∞ For more details see [18] Theorem 1 Suppose that Proposition 1 and Assumption 1 are satisfied. If…”
Section: Remarkmentioning
confidence: 99%
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“…According to the Proposition 1, Lemma 1, and because ||e k (., 0)|| L 2 → 0 when k → ∞ we get ||e k (., 1)|| L 2 → 0 when k → ∞ For more details see [18] Theorem 1 Suppose that Proposition 1 and Assumption 1 are satisfied. If…”
Section: Remarkmentioning
confidence: 99%
“…After Arimoto introduced the theory of iterative learning control in 1984, the research of ILC has become a subject of focus in the field of controllers, conducive research advancement has been made in theory and application. ILC has been used to track a determined target in many systems [13,11,12] including distributed parameter systems or partial differential systems [14,15], partial difference systems [16][17][18], and the delay systems [19][20][21][22][23][24][25]. In [19], the authors considerers the PD-type iterative learning control method for a class of nonlinear time-delay systems.…”
Section: Introductionmentioning
confidence: 99%
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