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Iterative Learning Control (ILC) is an open-loop control approach of tracking control for systems that work in a repetitive mode. Examples of systems
Iterative_learning_control
Type of control method
controllers Adaptive pole placement Extremum-seeking controllers Iterative learning control Gain scheduling Model reference adaptive controllers (MRACs) –
Adaptive_control
F.J. (2009). "Survey on iterative learning control, repetitive control, and run-to-run control". Journal of Process Control. 19 (10): 1589–1600. doi:10
Repetitive_control
Development methodology
Iterative and incremental development is any combination of both iterative design (or iterative method) and incremental build model for development. Usage
Iterative and incremental development
Iterative_and_incremental_development
Open source version system
for MLOps". Iterative.ai. 22 June 2020. Archived from the original on 2 December 2022. Retrieved 2 December 2022. "DVC 2.0 Release". Iterative.ai. 3 March
Data Version Control (software)
Data_Version_Control_(software)
Field of machine learning
In machine learning and optimal control, reinforcement learning (RL) is concerned with how an intelligent agent should take actions in a dynamic environment
Reinforcement_learning
Use of electricity for medical purposes
(2009). The re-education of upper limb movement post stroke using iterative learning control mediated by electrical stimulation (PhD). University of Southampton
Electrotherapy
Educational software application
various forms of evaluation, including iterative processes that assess students' experiences and approaches to learning. Both supporters and critics of LMSs
Learning_management_system
Model-free reinforcement learning algorithm
and increasing it towards its final value accelerates learning. Since Q-learning is an iterative algorithm, it implicitly assumes an initial condition
Q-learning
Tuning parameter (hyperparameter) in optimization
machine learning and statistics, the learning rate is a tuning parameter in an optimization algorithm that determines the step size at each iteration while
Learning_rate
American academic
algorithms, he has made significant contributions to advances in Iterative Learning Control (ILC). Alleyne has created several high precision algorithms that
Andrew_G._Alleyne
Subset of artificial intelligence
data is represented by a matrix. Through iterative optimisation of an objective function, supervised learning algorithms learn a function that can be used
Machine_learning
Overview of and topical guide to machine learning
tree algorithm Decision tree Classification and regression tree (CART) Iterative Dichotomiser 3 (ID3) C4.5 algorithm C5.0 algorithm Chi-squared Automatic
Outline_of_machine_learning
List of definitions of terms and concepts used in electrical engineering and electronics
primary circuit to the secondary circuit. iterative learning control A technique for improving the accuracy of control systems that carry out the same sequence
Glossary of electrical and electronics engineering
Glossary_of_electrical_and_electronics_engineering
Topics referred to by the same term
Living Color, an American comedy TV series Iterative learning control, a form of production-process tracking control This disambiguation page lists articles
ILC
Computational model used in machine learning
In machine learning, a neural network (NN) or neural net, is a computational model inspired by the structure and functions of biological neural networks
Neural network (machine learning)
Neural_network_(machine_learning)
Subfield of machine learning, intelligent control, and control theory
Machine learning control (MLC) is a subfield of machine learning, intelligent control, and control theory which aims to solve optimal control problems
Machine_learning_control
Method in machine learning
In machine learning, early stopping is a form of regularization used to avoid overfitting when training a model with an iterative method, such as gradient
Early_stopping
Algorithm for modelling sequential data
In deep learning, the transformer is a family of artificial neural network architectures based on the multi-head attention mechanism, in which text is
Transformer_(deep_learning)
Synthetic plant
Furong Gao. "A robust iterative learning control with neural networks for robot" (PDF). Research Center of Information and Control, Dalian University of
Plantoid
Study of mathematical algorithms for optimization problems
Algorithms which update a single coordinate in each iteration Conjugate gradient methods: Iterative methods for large problems. (In theory, these methods
Mathematical_optimization
Mathematical model for sequential decision making under uncertainty
s)}{\partial s}}f(t,s,a)).} Reinforcement learning is an interdisciplinary area of machine learning and optimal control that has, as main objective, finding
Markov_decision_process
(electrical) Iron loss Isolated-phase bus Isolation transformer Iterative learning control j operator – Jacobi method Jedlik's dynamo JFET Joule heating
Index of electrical engineering articles
Index_of_electrical_engineering_articles
Decentralized machine learning
producing a single accurate global inference model. The iterative process of federated learning is composed of a series of fundamental client-server interactions
Federated_learning
Research field that lies at the intersection of machine learning and computer security
proposed black box attack and the iterative algorithm above requires the calculation of a gradient in the second iterative step (which black box attacks do
Adversarial_machine_learning
Optimization algorithm
Stochastic gradient descent (often abbreviated SGD) is an iterative method for optimizing an objective function with suitable smoothness properties (e
Stochastic_gradient_descent
Representation learning method
pursuit, CoSaMP, or fast non-iterative algorithms can be used to recover the signal. One of the key principles of dictionary learning is that the dictionary
Sparse_dictionary_learning
commonly used with remotely-sensed geophysical data, while Simple Linear Iterative Clustering-Convolutional Neural Network (SLIC-CNN) and Convolutional Neural
Machine learning in earth sciences
Machine_learning_in_earth_sciences
Set of methods for supervised statistical learning
In machine learning, support vector machines (SVMs, also support vector networks) are supervised max-margin models with associated learning algorithms
Support_vector_machine
Machine learning methods using multiple input modalities
Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images
Multimodal_learning
Iterative design and management method
sometimes called plan–do–check–adjust is an iterative design and management method used in business for the control and continual improvement of processes
PDCA
Machine learning technique
In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
Branch of artificial intelligence
resort to iterative trial and error processes commonly seen in artificial intelligence. These include dynamic programming, reinforcement learning and combinatorial
Automated planning and scheduling
Automated_planning_and_scheduling
Machine learning technique where agents learn from demonstrations
Imitation learning is a paradigm in reinforcement learning, where an agent learns to perform a task by supervised learning from expert demonstrations
Imitation_learning
Umbrella term for certain approaches to software development
cycle (iteration), while iterative methods evolve the entire set of deliverables over time, completing them near the end of the project. Both iterative and
Agile_software_development
Self-directed, iterative learning approach
and through an Iterative design which alternates between phases of learning and doing. The tutors rather have the role of a learning attendant or supporter
Agile_learning
Standard example in game theory
accordingly, the game is called the iterated prisoner's dilemma. In addition to the general form above, the iterative version also requires that 2 R >
Prisoner's_dilemma
Paradigm in machine learning that uses no classification labels
Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled
Unsupervised_learning
Expectation–maximization algorithm – iterative procedure for maximum likelihood estimation with latent variables Gradient descent – iterative optimization algorithm
List_of_data_science_software
Technique for the generative modeling of a continuous probability distribution
In machine learning, diffusion models, also known as diffusion-based generative models or score-based generative models, are a class of latent variable
Diffusion_model
Optimization algorithm
algorithms, although both are iterative methods for optimization. Gradient descent is particularly useful in machine learning and artificial intelligence
Gradient_descent
Method of data analysis
compute the first few PCs. The non-linear iterative partial least squares (NIPALS) algorithm updates iterative approximations to the leading scores and
Principal_component_analysis
Interdisciplinary research area
Quantum machine learning (QML) is the study of quantum algorithms for machine learning. It often refers to quantum algorithms for machine learning tasks which
Quantum_machine_learning
Image upscaling technology by Nvidia
Deep Learning Super Sampling (DLSS) is a suite of real-time deep learning image enhancement and upscaling technologies developed by Nvidia that are available
Deep_Learning_Super_Sampling
Software designed for managing workflows involving analysis of large data sets
machine learning datasets, which are very large. CI/CD methodologies can be applied to datasets using data version control. Version control enables users
Data_version_control
Control flow construct for executing code repeatedly
Learning the Java Language > Language Basics)". docs.oracle.com. Archived from the original on 28 December 2025. Retrieved 8 January 2026. "Iteration
Loop_(statement)
machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major
List of datasets for machine-learning research
List_of_datasets_for_machine-learning_research
Conformance of AI to intended objectives
"generalist" network can chat, control robots, play games, and interpret photographs. According to surveys, some leading machine learning researchers expect AGI
AI_alignment
Family of control systems
The iterative feedback tuning (IFT) method was introduced in 1994, starting from the observation that, in identification for control, each iteration is
Data-driven_control_system
Type of feedforward neural network
"Distributed Deep Q-Learning". arXiv:1508.04186v2 [cs.LG]. Mnih, Volodymyr; et al. (2015). "Human-level control through deep reinforcement learning". Nature. 518
Convolutional_neural_network
Technique to make a model more generalizable and transferable
mathematics, statistics, finance, and computer science, particularly in machine learning and inverse problems, regularization is a process that converts the answer
Regularization_(mathematics)
Vector quantization algorithm minimizing the sum of squared deviations
expectation–maximization algorithm for mixtures of Gaussian distributions via an iterative refinement approach employed by both k-means and Gaussian mixture modeling
K-means_clustering
Paradigm in machine learning
Weak supervision (also known as semi-supervised learning) is a paradigm in machine learning, the relevance and notability of which increased with the
Weak_supervision
Overview of and topical guide to algorithms
specification Loop invariant — condition used to prove correctness of iterative algorithms Recurrence relation — equation often used to analyze recursive
Outline_of_algorithms
Machine learning technique useful for dimensionality reduction
examples are usually administered several times as iterations. The training utilizes competitive learning. When a training example is fed to the network,
Self-organizing_map
Learner centric pedagogy
and synthesize information in practical ways. The design process is an iterative process that has a variety of sequential steps: investigate context identify
Design-based_learning
Sub-field of reinforcement learning
Multi-agent reinforcement learning (MARL) is a sub-field of reinforcement learning. It focuses on studying the behavior of multiple learning agents that coexist
Multi-agent reinforcement learning
Multi-agent_reinforcement_learning
Cruise control advanced driver-assistance system
support adaptive cruise control and related driver-assistance functions. Other systems use multiple cameras with machine-learning-based perception. Tesla’s
Adaptive_cruise_control
Process of finding the optimal set of variables for a machine learning algorithm
algorithm. A hyperparameter is a parameter whose value is used to control the learning process, which must be configured before the process starts. Hyperparameter
Hyperparameter_optimization
Suite of reinforcement learning algorithms
Both iterations have been integrated into an advanced, Pytorch-powered reinforcement learning toolkit named GOPS: GOPS (General Optimal control Problem
Distributional Soft Actor Critic
Distributional_Soft_Actor_Critic
Adaptive environmental assessment and management (AEAM)
or adaptive environmental assessment and management, is a structured, iterative process of robust decision making in the face of uncertainty, with an
Adaptive_management
artifacts were removed with slow iterative methods like total variation minimization, but the advent of deep learning approaches has opened a new avenue
Deep learning in photoacoustic imaging
Deep_learning_in_photoacoustic_imaging
Class of artificial neural network
{\displaystyle {\hat {y}}_{k+1}} . Gradient descent is a first-order iterative optimization algorithm for finding the minimum of a function. In neural
Recurrent_neural_network
Statistics and machine learning technique
sample — also known as homogeneous parallel ensembles. Boosting follows an iterative process by sequentially training each base model on the up-weighted errors
Ensemble_learning
Psychological theory
Perceptual control theory (PCT) is a model of behavior based on the properties of negative feedback control loops. A control loop maintains a sensed variable
Perceptual_control_theory
Subfield of machine learning
Meta-learning is a subfield of machine learning where automatic learning algorithms are applied to metadata about machine learning experiments. As of
Meta-learning (computer science)
Meta-learning_(computer_science)
Algorithm for supervised learning of binary classifiers
In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. A binary classifier is a function that can decide whether
Perceptron
Study of psychological theories of learning
environmental context influenced the learning outcomes. Experiential learning, described by David Kolb, defines learning as an iterative process of experience, reflection
Psychology_of_learning
Class of reinforcement learning algorithm
February 2019. Li, Shengbo Eben (2023). Reinforcement Learning for Sequential Decision and Optimal Control (First ed.). Springer Verlag, Singapore. pp. 1–460
Model-free (reinforcement learning)
Model-free_(reinforcement_learning)
AI whose outputs can be understood by humans
(XAI), generally overlapping with interpretable AI or explainable machine learning (XML), is a field of research that explores methods that provide humans
Explainable artificial intelligence
Explainable_artificial_intelligence
Reinforcement learning algorithms
methods, and value-based RL algorithms such as value iteration, Q-learning, SARSA, and TD learning. An AC algorithm consists of two main components: an
Actor-critic_algorithm
Pattern of motion in a visual scene due to relative motion of the observer
be solved for ( u , v ) {\displaystyle (u,v)} at each pixel, using an iterative scheme such as Gauss-Seidel. Although, linearising the brightness constancy
Optical_flow
Intelligence of machines
potent inhibitors of α-synuclein aggregation using structure-based iterative learning". Nature Chemical Biology. 20 (5). Nature: 634–645. doi:10.1038/s41589-024-01580-x
Artificial_intelligence
Resource problem in machine learning
exploitation vs. exploration tradeoff in machine learning. The model has also been used to control dynamic allocation of resources to different projects
Multi-armed_bandit
Set of statistical processes for estimating the relationships among variables
linear in the parameters, the sum of squares must be minimized by an iterative procedure. This introduces many complications which are summarized in
Regression_analysis
Use of functions that call themselves
recursive function can be transformed into an iterative function by replacing recursive calls with iterative control constructs and simulating the call stack
Recursion_(computer_science)
Reference model architecture
intelligent control that adapts to uncertain and unstructured operating environments. The key concerns are sensing, perception, knowledge, costs, learning, planning
Real-time_Control_System
Iterative method for finding a linear decision boundary
The Ho–Kashyap algorithm is an iterative method in machine learning for finding a linear decision boundary that separates two linearly separable classes
Ho–Kashyap_algorithm
AI research laboratory
control strategies and pick the one that saves the most energy. In 2016, inspired by AlphaGo, he contacted DeepMind to apply reinforcement learning (RL)
Google_DeepMind
SAT solving algorithm
In computer science, conflict-driven clause learning (CDCL) is an algorithm for solving the Boolean satisfiability problem (SAT). Given a Boolean formula
Conflict-driven clause learning
Conflict-driven_clause_learning
Machine learning overlay technique for position sizing and trade filtering
Meta-labeling, also known as corrective AI, is a machine learning (ML) technique utilized in quantitative finance to enhance the performance of investment
Meta-Labeling
Deep learning method
A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative artificial intelligence
Generative adversarial network
Generative_adversarial_network
Measurement of algorithmic bias
Fairness in machine learning (ML) refers to the various attempts to correct algorithmic bias in automated decision processes based on ML models. Decisions
Fairness_(machine_learning)
Machine-learning process
Like all greedy algorithms, greedy grammar inference algorithms make, in iterative manner, decisions that seem to be the best at that stage. The decisions
Grammar_induction
Numerical method for solving boundary value problems
The proper generalized decomposition (PGD) is an iterative numerical method for solving boundary value problems (BVPs), that is, partial differential
Proper generalized decomposition
Proper_generalized_decomposition
Building energy management system
various control algorithms are the main focus of study. Algorithms that have been studied for OCC include, but are not limited to, iterative data fusion
Occupant-centric building controls
Occupant-centric_building_controls
Image-generating machine learning model
Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology
Stable_Diffusion
Mathematical optimization algorithm
positive-semidefinite. The conjugate gradient method is often implemented as an iterative algorithm, applicable to sparse systems that are too large to be handled
Conjugate_gradient_method
Mathematical optimization method
converges (as wished when one makes use of an iterative optimisation method), then the sequence of learning rates α n {\displaystyle \alpha _{n}} should
Backtracking_line_search
Machine learning algorithm
reinforcement learning, learning automata are characterized as policy iterators. In contrast to other reinforcement learners, policy iterators directly manipulate
Learning_automaton
False claims about Jews and Judaism
December 2024. "Where the False Claim That Jews Controlled the Slave Trade Comes From". My Jewish Learning. Archived from the original on 16 January 2025
Antisemitic_trope
Software program
Through Deep Visualization. Deep Learning Workshop, International Conference on Machine Learning (ICML) Deep Learning Workshop. arXiv:1506.06579. Olah
DeepDream
American artificial intelligence researcher
January 2001). "CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts". Bioinformatics. 17 Suppl 1:
Eric_Xing
2017 research paper by Google
sound of that word. An early design document was titled "Transformers: Iterative Self-Attention and Processing for Various Tasks", and included an illustration
Attention_Is_All_You_Need
Machine learning technique
algorithms as iterative functional gradient descent algorithms. That is, algorithms that optimize a cost function over function space by iteratively choosing
Gradient_boosting
American robotics company
have been developed, as well as two iterations of a vision-language-action model (Helix 01–02), which can control up to two robots at once. By 2026, the
Figure_AI
Practice of leading the work of a team to achieve goals and criteria at a specified time
better handled with a more exploratory or iterative and incremental approach. Several models of iterative and incremental project management have evolved
Project_management
Open source generative artificial intelligence UI
"CanFuUI: A Canvas-Centric Web User Interface for Iterative Image Generation with Diffusion Models and ControlNet". AI-generated Content. Communications in
ComfyUI
Methods for numerical approximations
method, and Jacobi iteration. In computational matrix algebra, iterative methods are generally needed for large problems. Iterative methods are more common
Numerical_analysis
Process for design and development of learning resources
to generalize the capability Proponents[vague] suggest that through an iterative process the verification of the design documents saves time and money
Instructional_design
ITERATIVE LEARNING-CONTROL
ITERATIVE LEARNING-CONTROL
Surname or Lastname
English
English : patronymic from a Germanic personal name beginning with the element gÄ“r, gÄr ‘spear’ (see Geary 2).Probably an Americanized spelling of German Gehring.
Surname or Lastname
English (Dorset and Somerset)
English (Dorset and Somerset) : unexplained.Dutch : patronymic from a short form of the personal name Julianus (see Julian).
Surname or Lastname
English
English : variant of Leeming.
Girl/Female
Indian
Pure; Calm; Serene; Creative Imperative Ambitious; Cool
Surname or Lastname
English
English : variant spelling of Waring.
Boy/Male
Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Telugu
Good Looking; Interactive; Brightness
Surname or Lastname
English
English : patronymic from Dear 1.Americanized spelling of German Diering, a variant of Döring (see Doering).
Biblical
learning
Surname or Lastname
English
English : unexplained.
Girl/Female
Biblical
Learning.
Girl/Female
Hindu
Learning
Girl/Female
Arabic, Muslim
Imperative; Essential
Girl/Female
Tamil
Learning
Surname or Lastname
English
English : unexplained. Probably a respelling of Irish Hearon.Possibly also an altered form of German Haering (see Hering).
Surname or Lastname
English
English : habitational name from Feering, a village in Essex, named from the Old English personal name Fēra + -ingas ‘people of’, i.e. ‘(settlement of) Fēra’s people’.Americanized spelling of German Viering, a topographic name for someone from a swampy area, from a derivative of Germanic vir ‘bog’, ‘swamp’, or a variant of Fehring 2.
Biblical
ploughing plough or till
Boy/Male
Tamil
Vidaysagar | விதாயà¯à®¸à®¾à®•à®°
Learning ocean
Vidaysagar | விதாயà¯à®¸à®¾à®•à®°
Girl/Female
Gujarati, Hindu, Indian
Learning
Surname or Lastname
English
English : variant spelling of Lanning.
Girl/Female
Tamil
Vidhya | விதà¯à®¯à®¾,விதà¯à®¯à®¾Â
Knowledge, Learning
ITERATIVE LEARNING-CONTROL
ITERATIVE LEARNING-CONTROL
Girl/Female
Indian, Sikh
Patience
Girl/Female
Arabic, Bengali, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Muslim, Sanskrit, Telugu
Bird Sound
Boy/Male
Teutonic American English
Strong fighter.
Boy/Male
Gaelic Irish
Dark.
Boy/Male
Sikh
One singhing the glories of naam
Boy/Male
Indian
Rain; Fragrance
Girl/Female
Arabic, Muslim, Pakistani
Pretty Women Heaven
Boy/Male
Hindu, Indian, Marathi, Sanskrit
Bestower of Wealth
Girl/Female
English American Scottish
From the linden tree island.
Boy/Male
Hindu
ITERATIVE LEARNING-CONTROL
ITERATIVE LEARNING-CONTROL
ITERATIVE LEARNING-CONTROL
ITERATIVE LEARNING-CONTROL
ITERATIVE LEARNING-CONTROL
n.
The act of gathering after reapers; that which is collected by gleaning.
a.
Pertaining to, or designed for, wear; as, wearing apparel.
n.
The gross amount of the balances adjusted in the clearing house.
v. t.
To utter or do a second time or many times; to repeat; as, to iterate advice.
n.
The knowledge or skill received by instruction or study; acquired knowledge or ideas in any branch of science or literature; erudition; literature; science; as, he is a man of great learning.
a.
Producing the appropriate or designed effect; efficacious; as, an operative dose, rule, or penalty.
n.
The acquisition of knowledge or skill; as, the learning of languages; the learning of telegraphy.
a.
Expressive of command; containing positive command; authoritatively or absolutely directive; commanding; authoritative; as, imperative orders.
n.
The act, power, or time of producing or giving birth; as, a tree in full bearing; a tree past bearing.
pl.
of Earning
a.
Based upon, or consisting of, an operation or operations; as, operative surgery.
a.
Expressive of commund, entreaty, advice, or exhortation; as, the imperative mood.
a.
Guiding; directing; controlling; foremost; as, a leading motive; a leading man; a leading example.
n.
The act, or state, of inclining; inclination; tendency; as, a leaning towards Calvinism.
n.
Purport; meaning; intended significance; aspect.
a.
Not to be avoided or evaded; obligatory; binding; compulsory; as, an imperative duty or order.
p. pr. & vb. n.
of Iterate
n.
The imperative mood; also, a verb in the imperative mood.
a.
Having the power of acting; hence, exerting force, physical or moral; active in the production of effects; as, an operative motive.
adv.
By way of iteration.