ECOset-ILC: an Iterative Learning Control Approach with Set-membership Uncertainty
2022 IEEE 17th International Conference on Advanced Motion Control (AMC)（2022）
Abstract
This paper presents a two step Iterative Learning Control (ILC) algorithm based on estimation and control with set-membership uncertainty (ECOset-ILC). The proposed method aims to design a feedforward input to iteratively improve a desired control task for nonlinear systems under the assumption of bounded-noise and/or binary/multi-valued sensors. The main contributions of this paper is the develop...
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Key words
Iterative learning control,parameter estimation,optimal experiment design,set-membership uncertainty,bounded-noise,binary measurement
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