Novel iterative learning controls for linear discrete-time systems based on a performance index over iterations

作者：Yang, Shengyue^*; Qu, Zhihua; Fan, Xiaoping; Nian, Xiaohong

来源：Automatica, 2008, 44(5): 1366-1372.

DOI：10.1016/j.automatica.2007.10.024

• iterative learning control
• quadratic performance index
• iteration domain
• optimality

An optimal iterative learning control (ILC) is proposed to optimize an accumulative quadratic performance index in the iteration domain for the nominal dynamics of linear discrete-time systems. Properties of stability, convergence, robustness, and optimality are investigated and demonstrated. In the case that the system under consideration contains uncertain dynamics, the proposed ILC design can be applied to yield a guaranteed-cost ILC whose solution can be found using the linear matrix inequality (LMI) technique. Simulation examples are included to demonstrate feasibility and effectiveness of the proposed learning controls.

• 出版日期2008-5
• 单位中南大学