Results 251 to 260 of about 1,153,224 (274)
Physical Chemistry Chemical Physics, 2022 Composition, size, and structure dependences of stable configuration of Pd–Ru alloy nanoparticles under finite temperature were theoretically investigated by using density functional theory calculation, multiple regression, and Wang–Landau sampling.
Yu̅suke Nanba, Michihisa Koyama
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Principled reward shaping for reinforcement learning via lyapunov stability theory
Neurocomputing, 2020 Abstract Reinforcement learning (RL) suffers from the designation in reward function and the large computational iterating steps until convergence. How to accelerate the training process in RL plays a vital role. In this paper, we proposed a Lyapunov function based approach to shape the reward function which can effectively accelerate the training ...
Yunlong Dong, Xiuchuan Tang, Ye Yuan
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Experimentally verified Iterative Learning Control based on repetitive process stability theory
2012 American Control Conference (ACC), 2012 This paper gives new results on the design and experimental evaluation of an Iterative Learning Control (ILC) law in a repetitive process setting. The experimental results given are from a gantry robot facility that has been extensively used in the benchmarking of linear model based ILC designs.
Dabkowski +7 more
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2016 IEEE 55th Conference on Decision and Control (CDC), 2016 Iterative learning control laws can be applied to systems that execute the same finite duration task over and over again. Previous research for linear dynamics has used the stability theory of linear repetitive processes to design control laws that have been experimentally verified.
Pavel Pakshin +4 more
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Reading & Writing Quarterly, 2005 ABSTRACT Two studies evaluated the contribution of goal orientation—over and above the constructs of planned behavior theory—in explaining the relationship between attitudes, motivation, and academic achievement for students with and without learning disabilities.
Georgios D. Sideridis
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Advances in Computational Mathematics, 2006 Solutions of learning problems by Empirical Risk Minimization (ERM) – and almost-ERM when the minimizer does not exist – need to be consistent, so that they may be predictive. They also need to be well-posed in the sense of being stable, so that they might be used robustly.
Sayan Mukherjee +3 more
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Analysis, 2022 Abstract Numerous computational and learning theory models have been studied using probabilistic functional equations. Especially in two-choice scenarios, the vast bulk of animal behavior research divides such situations into two different events. They split these actions into two possibilities according to the animals’ progress toward a
Ali Turab
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2017 10th International Workshop on Multidimensional (nD) Systems (nDS), 2017 Iterative learning control can be applied to systems that execute the same finite duration task over and over again. This method control has been applied to many engineering systems, such as gantry robots and electrical motors. This paper gives further results on the design of dynamic iterative learning control laws using the repetitive process setting
Łukasz Hładowski +2 more
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Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 2017 In this paper, a new learning algorithm based on Lyapunov stability theory for neural networks is used to improve the power system stability. During the online control process, the identification of system is not necessary, because of learning ability of the proposed controller.
Mehdi Arab Sadegh, Mohsen Farahani
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2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 2021 Weiwei Cai +7 more
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