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

仲裁者

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

CAJ

alliance

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

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

极深

玉米

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

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

originality

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