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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
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
Type of control method
controllers Adaptive pole placement Extremum-seeking controllers Iterative learning control Gain scheduling Model reference adaptive controllers (MRACs) –
Adaptive_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
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
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
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
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
is provided as an overview of, and topical guide to, machine learning: Machine learning (ML) is a subfield of artificial intelligence within computer
Outline_of_machine_learning
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)
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
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
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
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
American academic
Kira L.; Alleyne, Andrew G. (2010-01-01). "Iterative learning control". The Control Systems Handbook: Control System Advanced Methods, Second Edition. pp
Andrew_G._Alleyne
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)
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
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
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
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
(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
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
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
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 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
machine learning (ML) in earth sciences include geological mapping, gas leakage detection and geological feature identification. Machine learning is a subdiscipline
Machine learning in earth sciences
Machine_learning_in_earth_sciences
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
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
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
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)
Expectation–maximization algorithm – iterative procedure for maximum likelihood estimation with latent variables Gradient descent – iterative optimization algorithm
List_of_data_science_software
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
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
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
Set of methods for supervised statistical learning
In machine learning, a support vector machine (SVM) or support vector network is a supervised max-margin model with associated learning algorithms that
Support_vector_machine
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
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
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
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
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
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
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
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
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)
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
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
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
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
Fictional mansion in the X-Men comics
teenagers, and sometimes older aged mutants, the Xavier Institute for Higher Learning, formerly the Xavier School for Gifted Youngsters. The X-Mansion is also
X-Mansion
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
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
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
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
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
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
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
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
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)
Statistics and machine learning technique
In statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from
Ensemble_learning
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
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
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
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
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)
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
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
Use of various control systems for operating equipment
Terry. Industrial Automated Systems: Instrumentation and Motion Control. Cengage Learning, 2010. Bainbridge, Lisanne (November 1983). "Ironies of automation"
Automation
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)
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
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)
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
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
Machine-learning process
Grammar induction (or grammatical inference) is the process in machine learning of learning a formal grammar (usually as a collection of re-write rules or productions
Grammar_induction
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
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
Software program
Through Deep Visualization. Deep Learning Workshop, International Conference on Machine Learning (ICML) Deep Learning Workshop. arXiv:1506.06579. Olah
DeepDream
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
American mathematician
large sparse eigenvalue problems, particularly preconditioning and the iterative method LOBPCG. Knyazev's implementation of LOBPCG is available in many
Andrei Knyazev (mathematician)
Andrei_Knyazev_(mathematician)
Academic discipline; examines how goal-driven social entities add and create knowledge
is proposed by Crossan et al. (1999) that organizational learning is a dynamic and iterative process between exploration and exploitation (March 1991)
Organizational_learning
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
Concept in artificial intelligence
systems may evolve in unforeseen ways and could potentially surpass human control or understanding. The concept of a "seed improver" architecture is a foundational
Recursive_self-improvement
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
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
1990 video game
Video Games chose Star Control for their editorial "CVG Hit" award, highlighting the variety of weapons, the fun of learning favorable matchups, and
Star_Control
Greek-American electrical engineer (1942–2026)
"Reinforcement Learning and Optimal Control" (2019), which aims to explore the common boundary between dynamic programming/optimal control and artificial
Dimitri_Bertsekas
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
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
Book by Eric Ries
startup development that prioritizes rapid prototyping, validated learning, and iterative product releases. The goal of this methodology is to shorten product
The_Lean_Startup
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
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
ITERATIVE LEARNING-CONTROL
ITERATIVE LEARNING-CONTROL
Girl/Female
Hindu
Learning
Girl/Female
Tamil
Vidhya | விதà¯à®¯à®¾,விதà¯à®¯à®¾Â
Knowledge, Learning
Vidhya | விதà¯à®¯à®¾,விதà¯à®¯à®¾Â
Girl/Female
Tamil
Learning
Surname or Lastname
English
English : variant of Leeming.
Surname or Lastname
English
English : unexplained. Probably a respelling of Irish Hearon.Possibly also an altered form of German Haering (see Hering).
Girl/Female
Biblical
Learning.
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
English : variant spelling of Lanning.
Girl/Female
Arabic, Muslim
Imperative; Essential
Biblical
learning
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.
Boy/Male
Tamil
Vidaysagar | விதாயà¯à®¸à®¾à®•à®°
Learning ocean
Vidaysagar | விதாயà¯à®¸à®¾à®•à®°
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).
Girl/Female
Gujarati, Hindu, Indian
Learning
Biblical
ploughing plough or till
Surname or Lastname
English
English : unexplained.
Boy/Male
Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Telugu
Good Looking; Interactive; Brightness
Surname or Lastname
English
English : variant spelling of Waring.
Girl/Female
Indian
Pure; Calm; Serene; Creative Imperative Ambitious; Cool
Surname or Lastname
English
English : patronymic from Dear 1.Americanized spelling of German Diering, a variant of Döring (see Doering).
ITERATIVE LEARNING-CONTROL
ITERATIVE LEARNING-CONTROL
Boy/Male
Arabic, Muslim
Domination; Government; Rule; Nobility; High Mindedness
Boy/Male
Indian, Sanskrit
Of the Thigh
Girl/Female
Muslim/Islamic
Lightning
Boy/Male
German
Angel
Boy/Male
Hindu, Indian, Traditional
Yudhistar
Boy/Male
Muslim
Excellent, Outstanding
Girl/Female
Biblical
Silence, their hasting.
Girl/Female
Muslim
Romantic
Boy/Male
Tamil
Purajith | பà¯à®°à®¾à®œà¯€à®¤
Lord Shiva
Boy/Male
British, English
Bright Hair
ITERATIVE LEARNING-CONTROL
ITERATIVE LEARNING-CONTROL
ITERATIVE LEARNING-CONTROL
ITERATIVE LEARNING-CONTROL
ITERATIVE LEARNING-CONTROL
pl.
of Earning
n.
The gross amount of the balances adjusted in the clearing house.
a.
Not to be avoided or evaded; obligatory; binding; compulsory; as, an imperative duty or order.
n.
The act, or state, of inclining; inclination; tendency; as, a leaning towards Calvinism.
v. t.
To utter or do a second time or many times; to repeat; as, to iterate advice.
a.
Based upon, or consisting of, an operation or operations; as, operative surgery.
adv.
By way of iteration.
a.
Producing the appropriate or designed effect; efficacious; as, an operative dose, rule, or penalty.
a.
Pertaining to, or designed for, wear; as, wearing apparel.
a.
Guiding; directing; controlling; foremost; as, a leading motive; a leading man; a leading example.
n.
Purport; meaning; intended significance; aspect.
n.
The acquisition of knowledge or skill; as, the learning of languages; the learning of telegraphy.
n.
The imperative mood; also, a verb in the imperative mood.
n.
The act of gathering after reapers; that which is collected by gleaning.
n.
The act, power, or time of producing or giving birth; as, a tree in full bearing; a tree past bearing.
a.
Expressive of commund, entreaty, advice, or exhortation; as, the imperative mood.
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.
Expressive of command; containing positive command; authoritatively or absolutely directive; commanding; authoritative; as, imperative orders.
a.
Having the power of acting; hence, exerting force, physical or moral; active in the production of effects; as, an operative motive.
p. pr. & vb. n.
of Iterate