Relevant bibliographies by topics / Repetition in iterature

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Repetition in iterature'

Author: Grafiati
Published: 1 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Repetition in iterature"

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Pakshin, P. V., Yu P. Emelianova, and M. A. Emelyanov. "Higher-Order Iterative Learning Control Algorithms for Linear Systems." Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki 64, no. 4 (2024): 644–57. http://dx.doi.org/10.31857/s0044466924040056.

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Iterative learning control (ILC) algorithms appeared in connection with the problems of increasing the accuracy of performing repetitive operations by robots. They use information from previous repetitions to adjust the control signal on the current repetition. Most often, information from the previous repetition only is used. ILC algorithms that use information from several previous iterations are called higher-order algorithms. Recently, interest in these algorithms has increased in the literature in connection with robotic additive manufacturing problems. However, in addition to the fact th
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Jászay, László. "On the Problem of Iterative Action of the Russian Verb." Slovene 11, no. 1 (2022): 305–29. http://dx.doi.org/10.31168/2305-6754.2022.11.1.12.

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The article focuses on iteration in the Russian language, which is represented by different semantic types, based on the nature of the repetitive meaning and the ways of expressing it. Therefore, the author describes this semantic complex within the framework of a functional-semantic field, which includes heterogeneous forms of repetition of an action, including some types of usage of perfective verbs. The approach used in this article raises the question of the semantic scope of iterativity, since the boundaries between the presence and absence of elements of repetition are in some cases vagu
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Wen, Xiu Lan, Hong Sheng Li, Dong Xia Wang, and Jia Cai Huang. "Iterative Learning Controller Based on Particle Swarm Optimization." Advanced Materials Research 403-408 (November 2011): 593–600. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.593.

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Iterative Learning Control (ILC) has recently emerged as a powerful control strategy that iteratively achieves a higher accuracy for systems with repetitive tasks. The basic idea of ILC is to construct a compensation signal based on the tracking error in each repetition so as to reduce the tracking error in the next repetition. In this paper, particle swarm optimization (PSO) is proposed to optimize the input of iterative learning controller. The experimental results confirm that the proposed method not only has higher tracking accuracy than that of Improved Genetic Algorithm (IGA) and traditi
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Owens, David, and Steve Daley. "Iterative Learning Control — Monotonicity and Optimization." International Journal of Applied Mathematics and Computer Science 18, no. 3 (2008): 279–93. http://dx.doi.org/10.2478/v10006-008-0026-7.

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Iterative Learning Control — Monotonicity and OptimizationThe area if Iterative Learning Control (ILC) has great potential for applications to systems with a naturally repetitive action where the transfer of data from repetition (trial or iteration) can lead to substantial improvements in tracking performance. There are several serious issues arising from the "2D" structure of ILC and a number of new problems requiring new ways of thinking and design. This paper introduces some of these issues from the point of view of the research group at Sheffield University and concentrates on linear syste
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Rwafa, James, and Farzad Ghayoor. "Implementation of Iterative Learning Control on a Pneumatic Actuator." Actuators 11, no. 8 (2022): 240. http://dx.doi.org/10.3390/act11080240.

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Pneumatic actuators demonstrate various nonlinear and uncertain behavior, and as a result, precise control of such actuators with model-based control schemes is challenging. The Iterative Learning Control (ILC) algorithm is a model-free control method usually used for repetitive processes. The ILC uses information from previous repetitions to learn about a system’s dynamics for generating a more suitable control signal. In this paper, an ILC method to overcome the nonlinearities and uncertainties in a pneumatic cylinder-piston actuator is suggested. The actuator is modeled using MATLAB SimScap
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Galanopoulou, Lena. "Cuckoo." FOOTPRINT 19, no. 1 (2025): 21–32. https://doi.org/10.59490/footprint.19.1.7496.

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Drawing from the imag(in)ing of passing time as a cuckoo’s repetitive passing through a threshold, this article emphasises the active role of repetition in modulating spatio-temporalities and fostering variations. It argues that the systematic organisation and classification of the milieu emerge from the human capacity to perceive and assign differences within the spatio-temporal continuum. This process is enabled by iterative interactions with environmental stimuli, whether immediate or mediated through technological means, serving as an active process of evaluation and unfolding of environme
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Lu, Ping. "Means of expressing iterative repetition with the semantics of cyclicity in the work ‘Dark Alleys’ by I. A. Bunin." Philology. Theory & Practice 17, no. 10 (2024): 3688–94. http://dx.doi.org/10.30853/phil20240521.

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The aim of the research is to identify the specifics of the functioning of iterative repetition with the semantics of cyclicity in the individual style of I. A. Bunin. The article considers iterative repetition as a functional grammatical category that constitutes the functional-semantic field of aspectuality; details the ways of expressing iterative repetition in a literary text at the lexical, morphological and syntactic levels; creates a semantic model of iterative repetition with the meaning of cyclicity in the work ‘Dark Alleys’ by I. A. Bunin. The scientific novelty of the research lies
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Solomon, Ty. "Rhythm and Mobilization in International Relations." International Studies Quarterly 63, no. 4 (2019): 1001–13. http://dx.doi.org/10.1093/isq/sqz074.

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Abstract International Relations (IR) has rarely considered rhythm as a topic of analytical attention. Yet rhythms permeate many social and political phenomena, and their study contributes to core debates and empirical insights in contemporary IR. Rhythms are similar to but distinct from other forms of repetitive, iterative social action that have garnered increasing interest in IR, such as practices, habits, and routines. Each of these phenomena has rhythmic elements, but not all rhythmic phenomena are practical, habitual, or routine. Rhythm, then, is a distinct category of iterative action t
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Rabenstein, Rudolf, and Peter Steffen. "Numerical iterative methods and repetitive processes." Multidimensional Systems and Signal Processing 23, no. 1-2 (2010): 163–83. http://dx.doi.org/10.1007/s11045-010-0115-2.

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Freeman, Chris, and Ying Tan. "Iterative learning control and repetitive control." International Journal of Control 84, no. 7 (2011): 1193–95. http://dx.doi.org/10.1080/00207179.2011.596574.

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Dissertations / Theses on the topic "Repetition in iterature"

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Wang, Xuan. "Repetitive process based higher-order iterative learning control law design." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/415851/.

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Iterative learning control has been developed for processes or systems that complete the same finite duration task over and over again. The mode of operation is that after each execution is complete the system resets to the starting location, the next execution is completed and so on. Each execution is known as a trial and its duration is termed the trial length. Once each trial is complete the information generated is available for use in computing the control input for next trial. This thesis uses the repetitive process setting to develop new results on the design of higher-order ILC control
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Garimella, Srinivas S. "Application of repetitive control and iterative learning control to cold rolling processes /." The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487859313347042.

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Hätönen, J. (Jari). "Issues of algebra and optimality in Iterative Learning Control." Doctoral thesis, University of Oulu, 2004. http://urn.fi/urn:isbn:9514273516.

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Abstract In this thesis a set of new algorithms is introduced for Iterative Learning Control (ILC) and Repetitive Control (RC). Both areas of study are relatively new in control theory, and the common denominator for them is that they concentrate on controlling systems that include either reference signals or disturbances which are periodic. This provides opportunities for using past information or experience so that the control system learns the control action that results in good performance in terms of reference tracking or disturbance rejection. The first major contribution of the thesis
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Shi, Yunde. "Robustification in Repetitive and Iterative Learning Control." Thesis, 2013. https://doi.org/10.7916/D8SN0H55.

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Repetitive Control (RC) and Iterative Learning Control (ILC) are control methods that specifically deal with periodic signals or systems with repetitive operations. They have wide applications in diverse areas from high-precision manufacturing to high-speed assembly, and nowadays these algorithms have even been applied to biomimetic walking robots, where tracking a periodic reference signal or rejecting periodic disturbances is desired. Compared to conventional feedback control designs (including the inverse dynamics method), RC and ILC improve the control performance over repetitions -- by le
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Zhao, Haiyu. "Passive, iterative, and repetitive control for flexible distributed parameter systems." 2005. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-1084/index.html.

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Hsu, Ssu-Lung, and 徐賜龍. "Study of Repetitive Tracking Control for DC Motor Using a Fuzzy Iterative Learning Controller." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/33115005209002460677.

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碩士<br>華梵大學<br>電子工程學系碩士班<br>97<br>This thesis discusses the design of the fuzzy iterative learning control for sampled-time linear time invariant systems and it’s digital circuit implementation with application to position tracking control of DC servo motors. Under the case of initial state errors, input disturbance and output measurement error, we analyze the stability and convergence of the learning system. It is shown that the learning error will converge to a residual set whose level of magnitude will depend on the size of all uncertainties. Furthermore, the learning error will asymptotical
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Zhu, Jianzhong. "Synthesis and Analysis of Design Methods in Linear Repetitive, Iterative Learning and Model Predictive Control." Thesis, 2018. https://doi.org/10.7916/D87S918J.

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Repetitive Control (RC) seeks to converge to zero tracking error of a feedback control system performing periodic command as time progresses, or to cancel the influence of a periodic disturbance as time progresses, by observing the error in the previous period. Iterative Learning Control (ILC) is similar, it aims to converge to zero tracking error of system repeatedly performing the same task, and also adjusting the command to the feedback controller each repetition based on the error in the previous repetition. Compared to the conventional feedback control design methods, RC and ILC improve t
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Wang, Ruei-Siang, and 王瑞賢. "Hybrid Control based on Type-2 Fuzzy-Iterative Learning Control Strategies with Stewart Platform for Repetitive Trajectories." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/66358304071068118876.

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碩士<br>國立高雄第一科技大學<br>系統資訊與控制研究所<br>101<br>In this study, the hybrid control based on type-2 fuzzy-iterative learning control (HT2F-ILC) is extended from the basic iterative learning control for tracking trajectories. The factors of error convergence of the control system is considerd and the interval type-2 fuzzy logic control strategy is like a instructor based on the saturation function for tuning weighting to improve the performance limitation of basic iterative learning controller with Stewart platform. In the same situation cases, the performances of HT2F-ILC have better than basic iterati
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Yang, Yen-Hsiu, and 楊衍修. "Spatial-based Adaptive Repetitive and Iterative Learning Controls for Uncertain Variable-Speed Rotary Motion Systems Subject to Spatially Periodic and Non-periodic Disturbances." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/17173490447289123871.

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碩士<br>國立中興大學<br>電機工程學系所<br>96<br>Motion control systems play important roles in various industry applications. For design of control algorithms, people often encounter issues of uncertainties and nonlinearities. Among various types of control algorithms, repetitive control and iterative learning control (ILC) have been applied to the system for rejection of periodic disturbances or tracking periodic commands. Most disturbances subject to rotary motion systems come from eccentricity or tooth profile error. The types of disturbances are periodic with respect to angular position, but not necessar
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Books on the topic "Repetition in iterature"

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Kister, Aglaia. "Aus dem Selben und Gleichen das immer Neue": Wiederholung und Differenz in Thomas Manns Josephsromanen. Königshausen & Neumann, 2020.

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Shi, Yunde. Robustification in Repetitive and Iterative Learning Control. [publisher not identified], 2013.

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Synthesis and Analysis of Design Methods in Linear Repetitive, Iterative Learning and Model Predictive Control. [publisher not identified], 2018.

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Roscoe, Lucy. The Book Tree Press. University of Edinburgh, 2024. http://dx.doi.org/10.2218/ed.9781836450580.

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The output is a collection of fifteen creative book works which explore how the formal and sculptural properties of the book can be used to communicate narrative. The research is an iterative, cumulative, practice-based approach to making books, where repetition leads to extended insights. Illustrated books currently sit within several fields including fine art, illustration, and design. Roscoe’s research invests the spaces between these fields to interrogate the way the physical book acts as a form of visual communication through materials, binding, shape, and audience interaction. Individual
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Book chapters on the topic "Repetition in iterature"

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Longman, Richard W. "Designing Iterative Learning and Repetitive Controllers." In Iterative Learning Control. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5629-9_7.

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Lee, Kwang Soon, and Jay H. Lee. "Model-Based Predictive Control Combined with Iterative Learning for Batch or Repetitive Processes." In Iterative Learning Control. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5629-9_16.

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Chen, Yi, and Long Huang. "Loop Statements." In MATLAB Roadmap to Applications. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8788-3_5.

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Abstract Loop statements are control structures that enable the repetitive execution of a block of code until a specified condition is met or a certain number of iterations is reached. They play a crucial role in programming by allowing developers to automate repetitive tasks, iterate over data structures, and implement algorithms and simulations efficiently. The significance of loop statements lies in their ability to control the program flow based on predetermined conditions or criteria, thereby enhancing the flexibility and versatility of software applications.
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Wang, Yixiao, Fredrik Bruzelius, and Jonas Sjöberg. "Iterative Learning Trajectory Tracking Control of an Autonomous Bicycle." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_50.

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AbstractAn autonomous bicycle has been developed for repeatable active safety tests of Advanced Driver Assistance Systems (ADAS). For effective interaction with other test objects, precise bicycle trajectory tracking control is essential. The repetitive nature of these tests suggest an Iterative Learning Control (ILC) approach.In this paper, we present a design of an ILC controller tailored for the trajectory tracking problem of an autonomous bicycle. To illustrate the performance of the controller, simulations have been conducted.
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Rafajłowicz, Ewaryst, and Wojciech Rafajłowicz. "Iterative Learning in Repetitive Optimal Control of Linear Dynamic Processes." In Artificial Intelligence and Soft Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39378-0_60.

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Longman, Richard W. "Iterative/Repetitive Learning Control: Learning from Theory, Simulations, and Experiments." In Encyclopedia of the Sciences of Learning. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_1640.

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Zhou, Yali, Yixin Yin, Qizhi Zhang, and Woonseng Gan. "Model-Free Iterative Learning Control for Repetitive Impulsive Noise Using FFT." In Advances in Neural Networks – ISNN 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31362-2_51.

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Steinberg, Simon J., Marcel Staats, Wolfgang Nitsche, and Rudibert King. "Comparison of Iterative Learning and Repetitive Control Applied to a Compressor Stator Cascade." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11967-0_3.

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Longman, Richard W., Khawla A. Alnajjar, and Xiaoqiang Ji. "Comments on How a New Engineering Field Develops: A Case Study from Iterative Learning and Repetitive Control." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04573-3_155.

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Perisé-Barrios, A. J., D. Sepúlveda-Crespo, D. Shcharbin, et al. "Dendrimers." In Soft Nanoparticles for Biomedical Applications, 2nd ed. Royal Society of Chemistry, 2025. https://doi.org/10.1039/9781837675203-00255.

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Dendrimers are polymeric macromolecules constituted of a repetitive sequence of monomers growing step-by-step from a multifunctional core in a radial iterative fashion, not by polymeric reactions. Their syntheses offer the opportunity to generate monodisperse, structure-controlled architectures resulting in useful specific biomedical applications. Advances in the role of molecular weight and architecture on the behaviour of these dendrimers, together with recent progress in the design of biodegradable chemistries, have enabled the application of these branched polymers as therapeutic entities
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Conference papers on the topic "Repetition in iterature"

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Al-Hasyimi, Muhammad Rafli, Khoirul Anwar, and Linda Meylani. "Iterative Spatial Demapper with Repetition Codes for NOMA Network Coding." In 2024 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob). IEEE, 2024. https://doi.org/10.1109/apwimob64015.2024.10792963.

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Maniarski, Robert, Wojciech Paszke, Hongfeng Tao, and Eric Rogers. "Repetitive T-S Fuzzy Model-Based Iterative Learning Control Law Design." In 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886442.

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Zhao, Kexin, Wei Zhang, and Nan Liang. "Consensus iterative learning control for multi-agent systems with non-repetitive perturbations." In 4th International Conference on Internet of Things and Smart City, edited by Xinwei Yao and Francisco Falcone. SPIE, 2024. http://dx.doi.org/10.1117/12.3034836.

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Chen, Rongcheng, Jieying Lu, and Cheng Wen. "Parameter Iterative Optimization for Repetitive Motion Control of Permanent Magnet Synchronous Motor." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10662705.

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Bristow, Douglas A., and John R. Singler. "$L_{\infty}$ Bounds for Transient Growth in Repetitive and Iterative Learning Control Systems." In 2024 American Control Conference (ACC). IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10644780.

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Tan, Xue, Ji Zhang, Baoming Bai, Min Zhu, and Xiao Ma. "Multiplicative Repetition-Based Partial Superposition Transmission with Nonbinary Codes." In 2018 IEEE 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC). IEEE, 2018. http://dx.doi.org/10.1109/istc.2018.8625373.

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Hui, Yu, and Ronghu Chi. "Iterative learning state estimation for nonlinear repetitive process." In 2017 IEEE 6th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2017. http://dx.doi.org/10.1109/ddcls.2017.8068101.

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Krishnamoorthy, K., and Tsu-Chin Tsao. "Iterative learning control design inspired by repetitive control." In 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601). IEEE, 2004. http://dx.doi.org/10.1109/cdc.2004.1430224.

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Cichy, Blazej, Krzysztof Galkowski, Eric Rogers, and Anton Kummert. "Iterative Learning Control for wave linear repetitive processes." In 2009 International Workshop on Multidimensional (nD) Systems (nD. IEEE, 2009. http://dx.doi.org/10.1109/nds.2009.5196180.

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Hao, Jianqiang, and Rongni Yang. "Sliding Mode Iterative Learning Control for Discrete Linear Repetitive Process with Non-Repetitive Disturbances." In 2023 IEEE 13th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2023. http://dx.doi.org/10.1109/cyber59472.2023.10256551.

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