仲裁者 发表于 2025-3-25 05:38:40

978-1-85233-190-0Springer-Verlag London 1999

CAJ 发表于 2025-3-25 09:14:20

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alliance 发表于 2025-3-25 14:04:19

Yangquan Chen,Changyun WenProvides comprehensive coverage of this new and important area of modern control engineering.Several practical applications are demonstrated.Both theoretical and practical aspects of ILC are considere

induct 发表于 2025-3-25 17:50:53

Lecture Notes in Control and Information Scienceshttp://image.papertrans.cn/i/image/476593.jpg

极深 发表于 2025-3-25 20:58:10

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玉米 发表于 2025-3-26 03:03:46

High-order iterative learning control of uncertain nonlinear systems with state delays,ILC performance improvement by using high-order ILC algorithm is discussed and illustrated. The delays in the system states do not play significant roles in the ILC convergence analysis which is illustrate by a simulation example.

斥责 发表于 2025-3-26 06:21:41

Iterative learning control for uncertain nonlinear discrete-time systems using current iteration trion error, together with the ILC convergence rate, can be adjusted to a desired level by tuning the learning gain of the current iteration tracking error in the ILC updating law. Simulation results have illustrated the effectiveness of the proposed iterative learning controller for tracking control of uncertain discrete-time nonlinear systems.

antedate 发表于 2025-3-26 09:52:01

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originality 发表于 2025-3-26 14:39:40

Practical iterative learning control using weighted local symmetrical double-integral,double-integration. Convergence analysis is presented together with a design procedure. Also, the ILC convergence rate has been shown to be limited by the characteristics of the feedback controlled system.

子女 发表于 2025-3-26 16:56:14

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查看完整版本: Titlebook: Iterative Learning Control; Convergence, Robustn Yangquan Chen,Changyun Wen Book 1999 Springer-Verlag London 1999 Tracking.control.feedback