Computationally-Light Non-Lifted Data-Driven Norm-Optimal Iterative Learning Control
Sign Up to like & getrecommendations! Published in 2018 at "Asian Journal of Control"
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
Optimal iterative feedforward parameter tuning for varying trajectory under actuator constraints
Sign Up to like & getrecommendations! Published in 2024 at "Asian Journal of Control"
DOI: 10.1002/asjc.3377
Abstract: This paper presents a feedforward control algorithm that combines the benefits of optimal iterative learning control (OILC) and model‐based feedforward control (MFC) using iterative feedforward tuning and input shaping filter (IFT‐ISF) for industrial motion systems.… read more here.
Keywords: actuator constraints; control; actuator; performance ... See more keywords
Error Corrected References for Accelerated Convergence of Low Gain Norm Optimal Iterative Learning Control
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2024.3362857
Abstract: To reduce the need for high gains (reduced control weighting) for fast convergence in norm optimal iterative learning control (NOILC), this article presents a simple data-driven mechanism for accelerating the convergence of low gain feedback… read more here.
Keywords: norm optimal; control; iteration; convergence ... See more keywords
Conic Input Mapping Design of Constrained Optimal Iterative Learning Controller for Uncertain Systems.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
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
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
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