2014 - SPIE Fellow
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.
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
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.
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.
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.
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Iterative Learning Control: Brief Survey and Categorization
Hyo-Sung Ahn;YangQuan Chen;K.L. Moore.
systems man and cybernetics (2007)
Iterative Learning Control for Deterministic Systems
Kevin L. Moore;M. Johnson;Michael J. Grimble.
Discretization schemes for fractional-order differentiators and integrators
Yang Quan Chen;K.L. Moore.
IEEE Transactions on Circuits and Systems I-regular Papers (2002)
Iterative Learning Control: An Expository Overview
Kevin L. Moore.
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)
Iterative learning control and repetitive control in hard disk drive industry—A tutorial
YangQuan Chen;Kevin L. Moore;Jie Yu;Tao Zhang.
International Journal of Adaptive Control and Signal Processing (2008)
Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems
Hyo-Sung Ahn;Kevin L. Moore;YangQuan Chen.
Iterative learning control: A survey and new results
Kevin L. Moore;Mohammed Dahleh;S. P. Bhattacharyya.
Journal of Robotic Systems (1992)
Analytical stability bound for a class of delayed fractional-order dynamic systems
YangQuan Chen;K.L. Moore.
conference on decision and control (2001)
Relay feedback tuning of robust PID controllers with iso-damping property
YangQuan Chen;ChuanHua Hu;K.L. Moore.
conference on decision and control (2003)
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