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of 127
pro vyhledávání: '"Meindl, Michael"'
Intelligent real-world systems critically depend on expressive information about their system state and changing operation conditions, e.g., due to variation in temperature, location, wear, or aging. To provide this information, online inference and
Externí odkaz:
http://arxiv.org/abs/2409.09331
Stem cell therapy is a promising approach to treat heart insufficiency and benefits from automated myocardial injection which requires highly precise motion of a robotic manipulator that is equipped with a syringe. This work investigates whether suff
Externí odkaz:
http://arxiv.org/abs/2409.06361
Publikováno v:
Control Engineering Practice, Volume 145, April 2024, 105879
This work proposes Autonomous Iterative Motion Learning (AI-MOLE), a method that enables systems with unknown, nonlinear dynamics to autonomously learn to solve reference tracking tasks. The method iteratively applies an input trajectory to the unkno
Externí odkaz:
http://arxiv.org/abs/2404.06179
Multi-agent systems (MASs) can autonomously learn to solve previously unknown tasks by means of each agent's individual intelligence as well as by collaborating and exploiting collective intelligence. This article considers a group of autonomous agen
Externí odkaz:
http://arxiv.org/abs/2104.07620
Publikováno v:
IFAC-PapersOnLine 53 (2020) 1480-1486
Iterative Learning Control (ILC) schemes can guarantee properties such as asymptotic stability and monotonic error convergence, but do not, in general, ensure adherence to output constraints. The topic of this paper is the design of a reference-adapt
Externí odkaz:
http://arxiv.org/abs/2002.00662
Akademický článek
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Akademický článek
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Autor:
Meindl, Michael J.
Thesis (M. A.)--Oklahoma State University, 2007.
Vita. Includes bibliographical references.
Vita. Includes bibliographical references.
Externí odkaz:
http://digital.library.okstate.edu/etd/umi-okstate-2276.pdf
Publikováno v:
In Advances in Space Research 15 December 2020 66(12):2812-2826
Publikováno v:
Journal of Perinatal Education; 2023, Vol. 32 Issue 3, p141-148, 8p