D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 38 Citations 5,885 133 World Ranking 1993 National Ranking 842

Research.com Recognitions

Awards & Achievements

2014 - SPIE Fellow

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Machine learning

His primary areas of study are Iterative learning control, Control theory, Mathematical optimization, Artificial intelligence and Control engineering. His work deals with themes such as Stability, Discrete time and continuous time, Iterative method, Markov chain and Intelligent control, which intersect with Iterative learning control. His Control theory research incorporates themes from Tracking and Monotonic function.

Kevin L. Moore has researched Mathematical optimization in several fields, including Uniform consensus and Consensus. In most of his Artificial intelligence studies, his work intersects topics such as Machine learning. Kevin L. Moore combines subjects such as Robot, Motion planning and Autonomous robot with his study of Control engineering.

His most cited work include:

  • Iterative Learning Control: Brief Survey and Categorization (1088 citations)
  • Iterative Learning Control for Deterministic Systems (583 citations)
  • Discretization schemes for fractional-order differentiators and integrators (488 citations)

What are the main themes of his work throughout his whole career to date?

Control theory, Iterative learning control, Artificial intelligence, Control engineering and Iterative method are his primary areas of study. His work is connected to Control system, Control theory, Adaptive control, Robust control and Stability, as a part of Control theory. His Iterative learning control study also includes fields such as

  • Mathematical optimization, which have a strong connection to Robustness,
  • Interval most often made with reference to Markov chain.

His Artificial intelligence research includes themes of Machine learning and Computer vision. His biological study spans a wide range of topics, including Control, Trajectory, Automatic control and Nonlinear system. His Iterative method research is multidisciplinary, incorporating elements of Feed forward and Internal model.

He most often published in these fields:

  • Control theory (41.63%)
  • Iterative learning control (33.48%)
  • Artificial intelligence (20.17%)

What were the highlights of his more recent work (between 2009-2020)?

  • Control theory (41.63%)
  • Iterative learning control (33.48%)
  • Network topology (4.29%)

In recent papers he was focusing on the following fields of study:

His main research concerns Control theory, Iterative learning control, Network topology, Iterative method and Mathematical optimization. His Control theory research incorporates elements of Control engineering and Lipschitz continuity. His work carried out in the field of Iterative learning control brings together such families of science as Convergence, Robust control, Tracking error, Adaptive control and Trajectory.

As a part of the same scientific study, Kevin L. Moore usually deals with the Adaptive control, concentrating on Domain and frequently concerns with Repetitive control, Multivariable calculus and Monotonic function. His Iterative method research includes elements of Optimal control and Internal model. The concepts of his Mathematical optimization study are interwoven with issues in Distributed algorithm, Salient, Tuple and Rational function.

Between 2009 and 2020, his most popular works were:

  • Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems (172 citations)
  • Trajectory‐keeping in satellite formation flying via robust periodic learning control (91 citations)
  • Robust Iterative Learning Control for Nonrepetitive Uncertain Systems (85 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Control theory
  • Machine learning

Kevin L. Moore spends much of his time researching Control theory, Iterative learning control, Mathematical optimization, Control system and Stability. His Control theory research integrates issues from Monotonic function, Lipschitz continuity and Computational problem. His Iterative learning control study combines topics in areas such as Convergence, Tracking, Tracking error, Bounded function and Trajectory.

His research integrates issues of Domain, Iterative method, Adaptive control and Repetitive control in his study of Convergence. The Mathematical optimization study combines topics in areas such as Theoretical computer science, Node and Rational function. The various areas that Kevin L. Moore examines in his Control system study include Contrast, Software deployment, Industrial engineering and Implementation.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Iterative Learning Control: Brief Survey and Categorization

Hyo-Sung Ahn;YangQuan Chen;K.L. Moore.
systems man and cybernetics (2007)

1316 Citations

Iterative Learning Control for Deterministic Systems

Kevin L. Moore;M. Johnson;Michael J. Grimble.
(1992)

1031 Citations

Discretization schemes for fractional-order differentiators and integrators

Yang Quan Chen;K.L. Moore.
IEEE Transactions on Circuits and Systems I-regular Papers (2002)

641 Citations

Iterative Learning Control: An Expository Overview

Kevin L. Moore.
(1999)

491 Citations

High-Order and Model Reference Consensus Algorithms in Cooperative Control of MultiVehicle Systems

Wei Ren;Kevin L. Moore;Yangquan Chen.
Journal of Dynamic Systems Measurement and Control-transactions of The Asme (2007)

420 Citations

Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems

Hyo-Sung Ahn;Kevin L. Moore;YangQuan Chen.
(2010)

309 Citations

Iterative learning control: A survey and new results

Kevin L. Moore;Mohammed Dahleh;S. P. Bhattacharyya.
Journal of Robotic Systems (1992)

292 Citations

Analytical stability bound for a class of delayed fractional-order dynamic systems

YangQuan Chen;K.L. Moore.
conference on decision and control (2001)

267 Citations

Relay feedback tuning of robust PID controllers with iso-damping property

YangQuan Chen;ChuanHua Hu;K.L. Moore.
conference on decision and control (2003)

231 Citations

Iterative Learning Control and Repetitive Control in Hard Disk Drive Industry - A Tutorial

YangQuan Chen;Kevin L. Moore;Jie Yu;Tao Zhang.
conference on decision and control (2006)

193 Citations

Best Scientists Citing Kevin L. Moore

Eric Rogers

Eric Rogers

University of Southampton

Publications: 182

YangQuan Chen

YangQuan Chen

University of California, Merced

Publications: 174

Jian-Xin Xu

Jian-Xin Xu

National University of Singapore

Publications: 108

Krzysztof Galkowski

Krzysztof Galkowski

University of Zielona Góra

Publications: 106

Chris Freeman

Chris Freeman

Bangor University

Publications: 88

Zhongsheng Hou

Zhongsheng Hou

Qingdao University

Publications: 68

David H. Owens

David H. Owens

University of Sheffield

Publications: 60

Yingmin Jia

Yingmin Jia

Beihang University

Publications: 49

Paul Lewin

Paul Lewin

University of Southampton

Publications: 49

Andrew G. Alleyne

Andrew G. Alleyne

University of Illinois at Urbana-Champaign

Publications: 44

Hyo-Sung Ahn

Hyo-Sung Ahn

Gwangju Institute of Science and Technology

Publications: 43

Danwei Wang

Danwei Wang

Nanyang Technological University

Publications: 42

J. A. Tenreiro Machado

J. A. Tenreiro Machado

Polytechnic Institute of Porto

Publications: 41

Ying Tan

Ying Tan

Peking University

Publications: 41

Frank L. Lewis

Frank L. Lewis

The University of Texas at Arlington

Publications: 37

Guanrong Chen

Guanrong Chen

City University of Hong Kong

Publications: 31

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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