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Towards the Automatic Tuning of Linear Controllers Using Iterative Learning Control Under Repeating Disturbances
2019 18th European Control Conference (ECC)
In this paper, iterative learning control (ILC) is proposed as an alternative approach that can be used to simplify the design of linear controllers for rejecting repetitive disturbances affecting a system. Since ILC is a data-driven method, its usage allows rejecting repetitive disturbances without a priori knowledge of their nature. The benefits of ILC appear especially when a system is subject to complex repetitive disturbances. This is simply because it would require a control designer todoi:10.23919/ecc.2019.8796268 dblp:conf/eucc/KocanPM19 fatcat:3rmhiop4prfyfdk2foerezmtmy