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Journal articles on the topic 'Repetition in iterature'

Author: Grafiati

Published: 1 March 2023

Last updated: 31 July 2025

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Smailbegović, Ada. "Iterative Objects: Hauntings of Identity in Poetic Form." American Literary History 34, no. 4 (2022): 1447–55. http://dx.doi.org/10.1093/alh/ajac157.

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Abstract Channeling Gertrude Stein’s assertion from her lecture “Portraits and Repetition” that there is no such thing as repetition because both language and other entities that compose the world are continuously undergoing change, this essay explores the question of iteration or recursion in two recent critical books, Brian Kim Stefans’s Word Toys: Poetry and Technics (2017) and Jacob Edmond’s Make it the Same: Poetry in the Age of Global Media (2019). Stefans develops a critical practice that considers poems to be autonomous, dynamic entities, akin to machines or living organisms, thus conn

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12

Cao, Zhixing, Jingyi Lu, Ridong Zhang, and Furong Gao. "Iterative learning Kalman filter for repetitive processes." Journal of Process Control 46 (October 2016): 92–104. http://dx.doi.org/10.1016/j.jprocont.2016.08.003.

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13

Qiao, Jian Zhong, Hao Wu, Yukai Zhu, Jianwei Xu, and Wenshuo Li. "Anti-disturbance iterative learning tracking control for space manipulators with repetitive reference trajectory." Assembly Automation 39, no. 3 (2019): 401–9. http://dx.doi.org/10.1108/aa-12-2017-176.

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Purpose This paper is concerned with the repetitive trajectory tracking control for space manipulators under model uncertainties and vibration disturbances. Design/methodology/approach The model uncertainties and link vibration of manipulators will degrade the tracking performance of space manipulators; in this paper, a new hybrid control scheme that consists of a composite hierarchical anti-disturbance controller and an iterative learning controller is developed to solve this problem. Findings The composite hierarchical controller can effectively attenuate model uncertainties and reject vibra

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14

Nagaya, Naonori. "Reduplication and repetition from a constructionist perspective." Belgian Journal of Linguistics, Volume 34 (2020) 34 (December 31, 2020): 259–72. http://dx.doi.org/10.1075/bjl.00051.nag.

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Abstract In the typological literature, a distinction is often drawn between reduplication (as a morphological process) and repetition (as a syntactic process) (Gil 2005). This squib reconsiders this distinction from the perspective of Construction Morphology (Booij 2010, 2018; Masini and Audring 2019). Drawing upon previously understudied phenomena in Tagalog, an Austronesian language of the Philippines, this paper demonstrates that the Construction Morphology approach provides a suitable framework for analyzing reduplication and repetition. It makes it possible to account for both similariti

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15

Dridi, Jamel, Selma Ben attia, Salah Salhi, and Mekki Ksouri. "Repetitive Processes Based Iterative Learning Control Designed by LMIs." ISRN Applied Mathematics 2012 (December 22, 2012): 1–18. http://dx.doi.org/10.5402/2012/365927.

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This paper addressed the stability analysis along the pass and the synthesis problem of linear 2D/repetitive systems. The algorithms for control law design are developed using a strong form of stability for discrete and differential linear repetitive processes known as stability along the pass. In particular, recent work on the use of linear matrix inequalities- (LMIs-) based methods in the design of control schemes for discrete and differential linear repetitive processes will be highlighted by the application of the resulting theory of linear model. The resulting design computations are in t

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16

Tüfekçi, Tolga, and Refik Güllü. "An iterative approximation scheme for repetitive Markov processes." Journal of Applied Probability 36, no. 3 (1999): 654–67. http://dx.doi.org/10.1239/jap/1032374624.

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Repetitive Markov processes form a class of processes where the generator matrix has a particular repeating form. Many queueing models fall in this category such as M/M/1 queues, quasi-birth-and-death processes, and processes with M/G/1 or GI/M/1 generator matrices. In this paper, a new iterative scheme is proposed for computing the stationary probabilities of such processes. An infinite state process is approximated by a finite state process by lumping an infinite number of states into a super-state. What we call the feedback rate, the conditional expected rate of flow from the super-state to

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17

Muthumari, S., V. Gomathi, R. Srimathi, Kishore Eswaran, and V. Kamatchi Kannan. "Iterative Learning Control for a Repetitive 2D Process." IOP Conference Series: Materials Science and Engineering 995 (December 15, 2020): 012003. http://dx.doi.org/10.1088/1757-899x/995/1/012003.

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18

Tüfekçi, Tolga, and Refik Güllü. "An iterative approximation scheme for repetitive Markov processes." Journal of Applied Probability 36, no. 03 (1999): 654–67. http://dx.doi.org/10.1017/s0021900200017472.

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Repetitive Markov processes form a class of processes where the generator matrix has a particular repeating form. Many queueing models fall in this category such as M/M/1 queues, quasi-birth-and-death processes, and processes with M/G/1 or GI/M/1 generator matrices. In this paper, a new iterative scheme is proposed for computing the stationary probabilities of such processes. An infinite state process is approximated by a finite state process by lumping an infinite number of states into a super-state. What we call the feedback rate, the conditional expected rate of flow from the super-state to

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19

Huang, Jing, Zhenxiang Xu, Guoxiu Li, Cheng Qiu, and Haitao Huang. "An iterative learning control algorithm based on time varying pilot factor." Journal of Vibration and Control 25, no. 8 (2019): 1484–91. http://dx.doi.org/10.1177/1077546318822369.

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Owing to the control system being repetitive and nonlinear, a time-varying pilot factor control algorithm based on iterative learning control is proposed. The convergence of the TPF-ILC control algorithm is mathematically proven and the sufficient conditions are given. Thereafter, the initial state issue of iterative learning is explored, which is the critical issue of iterative learning control. The convergence of the system’s control error and the initial state of every single period have been mathematically proved by using continuous and repetitive properties of the system, even if the init

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20

Xu, Fengqiu, Kaiyang Zhang, and Xianze Xu. "Development of Magnetically Levitated Rotary Table for Repetitive Trajectory Tracking." Sensors 22, no. 11 (2022): 4270. http://dx.doi.org/10.3390/s22114270.

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The magnetic levitation system has been considered as a promising actuator in micromachining areas of study. In order to improve the tracking performance and disturbance rejection of the magnetically levitated rotary table, an iterative learning PID control strategy with disturbance compensation is proposed. The estimated disturbance compensates for the control signals to enhance the active disturbance rejection ability. The iterative learning control is used as a feed-forward unit to further reduce the trajectory tracking error. The convergence and stability of the iterative learning PID with

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21

Ruano, M. V., J. Ribes, J. Ferrer, and G. Sin. "Application of the Morris method for screening the influential parameters of fuzzy controllers applied to wastewater treatment plants." Water Science and Technology 63, no. 10 (2011): 2199–206. http://dx.doi.org/10.2166/wst.2011.442.

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In this paper, we evaluate the application of a sensitivity analysis to help fine-tuning a fuzzy controller for a biological nitrogen and phosphorus removal (BNPR) plant. The Morris Screening method is proposed and evaluated as a prior step to obtain the parameter significance ranking. First, an iterative procedure has been performed in order to find out the proper repetition number of the elementary effects (r) of the method. The optimal repetition number found in this study (r = 60) is in direct contrast to previous applications of the Morris method, which usually use low repetition number,

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22

Enjalbert, Patrice. "Sémantique des énoncés itératifs." Lingvisticæ Investigationes. International Journal of Linguistics and Language Resources 38, no. 1 (2015): 133–82. http://dx.doi.org/10.1075/li.38.1.05enj.

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This article is about the semantics of iterative statements, expressing repetition in time of a type-eventuality. With these statements are associated frequency properties, quantified by iterative adverbs (often, sometimes, sporadically, n times out of p…). Our purpose is to design a formal representation, with a method allowing to compute it from the text. The interpretation of an iterative statement closely relies on its information structure so that we first study precisely the topic-focus partition for a significant range of configurations. In the formal model, the occurrences of iterative

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23

Samsonova, Ekaterina Maksimovna. "Multiple meaning as a kind of iterative repetition in the Yakut language." Litera, no. 11 (November 2024): 86–96. http://dx.doi.org/10.25136/2409-8698.2024.11.72281.

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The purpose of the article is to determine the semantic structure and features of the functioning of the means of expressing the proper multiple meaning as one of the subtypes of iterative repetition in the Yakut language. The object of the study is the semantics of an accurate or inaccurate quantitative account of situations. The subject of study is the so-called circumstances of multiplicity or counting complex. Based on the material of the Yakut language, the author, following I. B. Dolinina, adheres to the proposed terminology and suggests considering such cases of repeatability as an inde

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24

Zhang, Bitao, and Haobo Luo. "Two-Dimensional Fractional Order Iterative Learning Control for Repetitive Processes." Fractal and Fractional 7, no. 8 (2023): 624. http://dx.doi.org/10.3390/fractalfract7080624.

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The convergence and robustness rejecting parameters variations and external disturbance of the system are crucial for repetitive processes. In this paper, a two-dimensional robust fractional-order iterative learning control (FOILC) is proposed for the repetitive motion process to enhance the convergence and robustness. A fractional-order proportional derivative function (FOPDF) is designed as the control variable to replace the tracking error of the integer-order iterative learning control (IOILC) algorithm. The required dynamic output fractional-order iterative learning controller is construc

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25

Wang, Lei, Mu Li, and Huizhong Yang. "Robust PD-Type Iterative Learning Control of Discrete Linear Repetitive Processes in the Finite Frequency Domain." Mathematics 8, no. 6 (2020): 1004. http://dx.doi.org/10.3390/math8061004.

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This paper studies a robust iterative learning control design for discrete linear repetitive processes in the finite frequency domain. Firstly, the state-space model of the iterative learning process is deduced. Then the dynamic performance condition of the control system in the finite frequency domain is derived by combining it with the stability theory of discrete linear repetitive processes. The system performances in the finite frequency domain are then transformed into the corresponding solutions of the linear matrix inequality by using the generalised KYP lemma. Finally, an integrated st

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Jia, Bingxi, Shan Liu, and Yi Liu. "Vision-Based Iterative Trajectory Tracking for Industrial Manipulators." Unmanned Systems 03, no. 04 (2015): 291–98. http://dx.doi.org/10.1142/s2301385015400051.

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In industrial applications, industrial manipulators are generally used for repetitive tasks, and hence teach-playback strategy is generally used. However, classical teach-playback strategy needs the engineer directly operate the robot to do a demonstration, which takes great effort. In this paper, the task is formulated into a trajectory tracking problem, which uses teach-by-showing strategy, i.e., the engineer grasps the object with a camera on it to do a demonstration, during which a series of images are recorded as the desired trajectory. A vision-based iterative learning controller is prop

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Ahmed, Hameeza, and Muhammad Ali Ismail. "REDUCER: Elimination of Repetitive Codes for Accelerated Iterative Compilation." Computing and Informatics 40, no. 3 (2021): 543–74. http://dx.doi.org/10.31577/cai_2021_3_543.

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28

Longman, Richard W. "Iterative learning control and repetitive control for engineering practice." International Journal of Control 73, no. 10 (2000): 930–54. http://dx.doi.org/10.1080/002071700405905.

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Trondhjem, Naja Blytmann. "Repetitive, iterative and habitual aspectual affixes in West Greenlandic." Acta Linguistica Hafniensia 44, no. 1 (2012): 64–76. http://dx.doi.org/10.1080/03740463.2011.735475.

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30

Kimura, Harumi. "A case for iterative practice: Learner voices." Language Teacher 37, no. 5 (2013): 32. http://dx.doi.org/10.37546/jalttlt37.5-10.

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The term “practice” has not been popular in language classrooms since behaviourism went out of fashion. In this paper, however, I examined learners’ feedback on task repetition in order to promote the idea as an aid while learning to communicate in another language. Sixty Japanese students of English reflected on their classroom practice of oral interaction and produced focused essays on it. In the subsequent main study, to investigate further one of the most common themes identified in the students’ essays, task repetition, I interviewed three students and asked them what they thought of the

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31

Wang, Lei, Liangxin Dong, Ruitian Yang, and Yiyang Chen. "Dynamic ILC for Linear Repetitive Processes Based on Different Relative Degrees." Mathematics 10, no. 24 (2022): 4824. http://dx.doi.org/10.3390/math10244824.

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The current research on iterative learning control focuses on the condition where the system relative degree is equal to 1, while the condition where the system relative degree is equal to 0 or greater than 1 is not considered. Therefore, this paper studies the monotonic convergence of the corresponding dynamic iterative learning controller systematically for discrete linear repetitive processes with different relative degrees. First, a 2D discrete Roesser model of the iterative learning control system is presented by means of 2D systems theory. Then, the monotonic convergence condition of the

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32

Jia, Jie, Khurram Shabbir, Khushdil Ahmad, Nehad Ali Shah, and Thongchai Botmart. "Strong Convergence of a New Hybrid Iterative Scheme for Nonexpensive Mappings and Applications." Journal of Function Spaces 2022 (March 19, 2022): 1–11. http://dx.doi.org/10.1155/2022/4855173.

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In the article, we have proposed a new type of hybrid iterative scheme which is a hybrid of Picard and Thakur et al. repetitive schemes. This new hybrid iterative scheme converges faster than all leading schemes like Picard-S∗ hybrid, Picard-S, Picard-Ishikawa hybrid, Picard-Mann hybrid, Thakur et al. and Abbas and Nazir, S-iterative, Ishikawa and Mann iterative schemes for contraction mapping. By using the Picard-Thakur hybrid iterative scheme, we can find the solution of delay differential equations and also prove some convergence results for nonexpansive mapping in a uniformly convex Banach

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33

op de Beke, Laura. "Premediating climate change in videogames: Repetition, mastery, and failure." Nordic Journal of Media Studies 3, no. 1 (2021): 184–99. http://dx.doi.org/10.2478/njms-2021-0010.

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Abstract This article starts with the observation that growth-oriented, techno-futurist narratives are predominant in climate change videogames. It then accounts for the lack of variety by arguing that these videogames are privileged expressions of premediation. Premediation cultivates a multiplicity of future scenarios, while at the same time delimiting them to suit presentist concerns, evoking a sense of inevitability and predictability strengthened by repetition. The iterative, branching temporality at work in this logic is deeply ingrained in videogames, as the trope of mastery through rep

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34

AL-ansari, Tahreer Moneer Sahib, and Asmaa Mohamed AL-Moqaram. "Iterative systems in sold structures and filigree structures / study in structural surface strategy." Association of Arab Universities Journal of Engineering Sciences 28, no. 2 (2021): 69–85. http://dx.doi.org/10.33261/jaaru.2021.28.2.008.

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The relationship between the structure and the shape in contemporary architecture has different formatsaccording to design and structural requirements. The integration is important formulas among these relationship, asthey form one unit in architecture, where the integration is characteristic by the important property which is theiterative system. One of the strategies to find iterative systems in contemporary architecture over traditional is calledstructural surface. Previous knowledge has been differed in explaining the functional of systems and it’smechanisms, especially in the relationship

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35

Liu, Chang Rong, and Jin Xue Xu. "A Series Connection Scheme of Iterative Learning Control Based on Disturbance Observer." Applied Mechanics and Materials 182-183 (June 2012): 1041–45. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.1041.

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In order to reject non-repetitive disturbance and improve the performance of iterative learning control, a series connection of feedback controller and ILC system with disturbance observer is presented. The random disturbance and uncertain model in ILC are studied. The simulation experiments indicate that DOB can reject non-disturbance and decrease the affect of uncertain model in ILC. The system is verified to be effective for promoting tracking performance and rejecting the non-repetitive disturbance in ILC.

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Н. Стојменовић, Наталија. "ПРЕСУПОЗИЦИЈА ИЗРИЧАЈА СА ИТЕРАТИВНИМ ГЛАГОЛИМА У СРПСКОМ ЈЕЗИКУ". PHILOLOGIA MEDIANA 15, № 1 (2023): 307–23. http://dx.doi.org/10.46630/phm.15.2023.22.

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In this paper, we are exploring the presupposition triggered by iterative verbs in the Serbian language. Our goal is to test presuppositions of iterative verbs in Serbian language, hence to check their similarity with iterative verbs in other languages and to classify them as hard or soft presupposition triggers. The main reason for this research comes from different perspectives on the phenomenon of presupposition and lack of papers in the Serbian language on the theme. We have tested ten verbs: vratiti, ponoviti, povratiti, kuckati, javljati se, lupkati, pribojavati se, došaptavati, ručavati

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37

Cao, Zhixing, Ridong Zhang, Yi Yang, Jingyi Lu, and Furong Gao. "Discrete-Time Robust Iterative Learning Kalman Filtering for Repetitive Processes." IEEE Transactions on Automatic Control 61, no. 1 (2016): 270–75. http://dx.doi.org/10.1109/tac.2015.2434073.

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38

Cao, Zhixing, Hans-Bernd Durr, Christian Ebenbauer, Frank Allgower, and Furong Gao. "Iterative Learning and Extremum Seeking for Repetitive Time-Varying Mappings." IEEE Transactions on Automatic Control 62, no. 7 (2017): 3339–53. http://dx.doi.org/10.1109/tac.2016.2633724.

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Phan, Minh Q., Richard W. Longman, Benjamas Panomruttanarug, and Soo Cheol Lee. "Robustification of iterative learning control and repetitive control by averaging." International Journal of Control 86, no. 5 (2013): 855–68. http://dx.doi.org/10.1080/00207179.2013.764576.

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40

Huang, Yi Cheng, Shu Ting Li, and Kuan Heng Peng. "Precision Motion of Iterative Learning Controller Using Adaptive Filter Bandwidth Tuning by Improved Particle Swarm Optimization Technique." Applied Mechanics and Materials 376 (August 2013): 349–53. http://dx.doi.org/10.4028/www.scientific.net/amm.376.349.

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This paper utilized the Improved Particle Swarm Optimization (IPSO) technique for adjusting the gains of PID and the bandwidth of zero-phase Butterworth Filter of an Iterative Learning Controller (ILC) for precision motion. Simulation results show that IPSO-ILC-PID controller without adaptive bandwidth filter tuning have the chance of producing high frequencies in the error signals when the filter bandwidth is fixed for every repetition. However the learnable and unlearnable error signals should be separated for bettering control process. Thus the adaptive bandwidth of a zero phase filter in I

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41

Zhou, Longhui, Hongfeng Tao, Wojciech Paszke, Vladimir Stojanovic, and Huizhong Yang. "PD-Type Iterative Learning Control for Uncertain Spatially Interconnected Systems." Mathematics 8, no. 9 (2020): 1528. http://dx.doi.org/10.3390/math8091528.

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This paper puts forward a PD-type iterative learning control algorithm for a class of discrete spatially interconnected systems with unstructured uncertainty. By lifting and changing the variable of discrete space model, the uncertain spatially interconnected systems is converted into equivalent singular system, and the general state space model is derived in view of singular system theory. Then, the state error and output error information are used to design the iterative learning control law, transforming the controlled system into an equivalent repetitive process model. Based on the stabili

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Zuo, Guomeng, Qijie Xie, Quanxin Na, et al. "Fourier domain-based iterative predistortion method for high-repetition-rate optical linear frequency sweep." Measurement 244 (February 2025): 116583. https://doi.org/10.1016/j.measurement.2024.116583.

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43

Yu, Wenchao, Weimin Su, Hong Gu, Jianchao Yang, and Xingyu Lu. "Coherent integration algorithm for random pulse repetition interval radar based on iterative adaptive approach." Electronics Letters 56, no. 22 (2020): 1208–10. http://dx.doi.org/10.1049/el.2020.2197.

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Jiang, Wei, Gang Zhu, and Ying Zheng. "Iterative Learning Control for AGV Drive Motor Based on Linear Extended State Observer." Machines 9, no. 12 (2021): 324. http://dx.doi.org/10.3390/machines9120324.

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In order to solve the problems of repetitive and non-repetitive interference in the workflow of Automated Guided Vehicle (AGV), Iterative Learning Control (ILC) combined with linear extended state observer (LESO) is utilized to improve the control accuracy of AGV drive motor. Considering the working conditions of AGV, the load characteristics of the drive motor are analyzed with which the mathematical model of motor system is established. Then the third-order extended state space equations of the system approximate model is obtained, in which LESO is designed to estimate the system states and

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Contzen, Eva von. "Iterative Circulation in Chaucer: Medieval Contexts of Seriality." Anglia 143, no. 1 (2025): 16–36. https://doi.org/10.1515/ang-2025-0002.

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Abstract The idea of serial circulation is difficult to reconcile with the realities of medieval practices of text production before the advent of printing. Rather than dismissing the concept altogether, however, this article considers both seriality and circulation as productive categories for analyzing medieval literature. Focusing on Geoffrey Chaucer and the Canterbury Tales, I argue that medieval poets were attuned to ‘serial thinking’, which manifested itself in repetition as a key formal feature of medieval literature. I introduce the concept of ‘iterative circulation’ as an alternative

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Riaz, Saleem, Hui Lin, Farkhanda Afzal, and Ayesha Maqbool. "Design and Implementation of Novel LMI-Based Iterative Learning Robust Nonlinear Controller." Complexity 2021 (April 15, 2021): 1–13. http://dx.doi.org/10.1155/2021/5577241.

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An iterative learning robust fault-tolerant control algorithm is proposed for a class of uncertain discrete systems with repeated action with nonlinear and actuator faults. First, by defining an actuator fault coefficient matrix, we convert the iterative learning control system into an equivalent unknown nonlinear repetitive process model. Then, based on the mixed Lyapunov function approach, we describe the stability of the nonlinear repetitive mechanism on time and trial indices and have appropriate conditions for the repeated control system’s stability in terms of linear matrix inequality th

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Wang, Ying Chung, Chiang Ju Chien, and Chi Nan Chuang. "Backstepping Adaptive Iterative Learning Control for Robotic Systems." Applied Mechanics and Materials 284-287 (January 2013): 1759–63. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.1759.

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A backstepping adaptive iterative learning control for robotic systems with repetitive tasks is proposed in this paper. The backstepping-like procedure is introduced to design the AILC. A fuzzy neural network is applied for compensation of the unknown certainty equivalent controller. Using a Lyapunov like analysis, we show that the adjustable parameters and internal signals remain bounded, the tracking error will asymptotically converge to zero as iteration goes to infinity.

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Wang, Rongrong, Yangchun Wei, and Ronghu Chi. "Enhanced data-driven optimal iterative learning control for nonlinear non-affine discrete-time systems with iterative sliding-mode surface." Transactions of the Institute of Measurement and Control 42, no. 11 (2020): 1923–34. http://dx.doi.org/10.1177/0142331219900593.

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In this work, an enhanced data-driven optimal iterative learning control (eDDOILC) is proposed for nonlinear nonaffine systems where a new iterative sliding mode surface (ISMS) is designed to replace the traditional tracking error in the controller design and analysis. It is the first time to extend the sliding mode surface to the iteration domain for systems operate repetitively over a finite time interval. By virtual of the new designed ISMS, the control design becomes more flexible where both the time and the iteration dynamics can be taken into account. Before proceeding to the controller

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Tao, Hongfeng, Yan Liu, and Huizhong Yang. "Output Information Based Fault-Tolerant Iterative Learning Control for Dual-Rate Sampling Process with Disturbances and Output Delay." Mathematical Problems in Engineering 2018 (2018): 1–15. http://dx.doi.org/10.1155/2018/7072032.

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For a class of single-input single-output (SISO) dual-rate sampling processes with disturbances and output delay, this paper presents a robust fault-tolerant iterative learning control algorithm based on output information. Firstly, the dual-rate sampling process with output delay is transformed into discrete system in state-space model form with slow sampling rate without time delay by using lifting technology; then output information based fault-tolerant iterative learning control scheme is designed and the control process is turned into an equivalent two-dimensional (2D) repetitive process.

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Tescari Neto, Aquiles. "Advps habituais e advps frequentativos: ambos aspectuais quantificadores; modalizadores, só os habituais." Cadernos de Estudos Lingüísticos 51, no. 2 (2011): 253–72. http://dx.doi.org/10.20396/cel.v51i2.8637215.

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Comrie (1975) had already noticed that habitual and iterative/frequentative aspects used to be treated as instances of the same aspectual subtype by some papers available in general Linguistics literature. The author distinguishes such instances of the aspectual category by recognizing that habitual aspect expresses the occurrence of an event or state as characteristic of a period of time while iterative expresses the mere repetition of an event or state. Cinque (1999) takes the fact that the iterative aspect is under the scope of the habitual aspect to keep them in different functional projec

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