Computationally-Light Non-Lifted Data-Driven Norm-Optimal Iterative Learning Control
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DOI: 10.1002/asjc.1569
Abstract: Computational complexity and model dependence are two significant limitations on lifted norm optimal iterative learning control (NOILC). To overcome these two issues and retain monotonic convergence in iteration, this paper proposes a computationally-efficient non-lifted NOILC… read more here.
Keywords: non lifted; optimal iterative; norm optimal; control ... See more keywords
Conic Input Mapping Design of Constrained Optimal Iterative Learning Controller for Uncertain Systems.
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DOI: 10.1109/tcyb.2022.3155754
Abstract: In this article, we study the optimal iterative learning control (ILC) for constrained systems with bounded uncertainties via a novel conic input mapping (CIM) design methodology. Due to the limited understanding of the process of… read more here.
Keywords: methodology; ilc; iterative learning; conic input ... See more keywords
Optimal Iterative Learning Control for Batch Processes in the Presence of Time-Varying Dynamics
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DOI: 10.1109/tsmc.2020.3031669
Abstract: Optimal iterative learning control (OILC) has been recognized as an excellent model-based means for regulating batch process with abundant successful applications reported in the past decades but also received considerable criticisms for its poor robustness… read more here.
Keywords: time; control; optimal iterative; learning control ... See more keywords