Results 261 to 270 of about 10,742,237 (292)
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Frequency domain iterative learning control for direct-drive robots
2003 European Control Conference (ECC), 2003This paper presents an Iterative Learning Control algorithm for direct-drive robots. The learning algorithm assumes linear dynamics, which is created using a nonlinear model-based compensator. The convergence criterion of the learning controller is derived in the frequency domain.
Bukkems, B.H.M. +3 more
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A frequency domain iterative learning control for low bandwidth system
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001A frequency-domain learning scheme based on the modified Fourier series for the tracking control of system with a low bandwidth limit is presented. The proposed controller consists of two parts: a PD controller, and an online updated learning controller. The proposed method can reduce the tracking error more effectively than the same type of controller
Wubi Qin, Lilong Cai
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Contrastive Learning in Frequency Domain for Non-I.I.D. Image Classification
2021Non-I.I.D. image classification is an important research topic for both academic and industrial communities. However, it is a very challenging task, as it violates the famous hypothesis of independent and identically distributed (I.I.D.) in conventional machine learning, and the classifier minimizing empirical errors on training images does not perform
Huan Shao 0005 +3 more
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A generalized frequency domain learning control design with experimental validation
IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017This paper presents a generalized iterative learning control (ILC) design in the frequency domain with experimental validation. The optimal ILC learning function and robustness filter function are simultaneously optimized by solving a linear programming problem using frequency response functions.
Tong Duy Son +3 more
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Learning Attention in the Frequency Domain for Flexible Real Photograph Denoising
IEEE Transactions on Image ProcessingRecent advancements in deep learning techniques have pushed forward the frontiers of real photograph denoising. However, due to the inherent pooling operations in the spatial domain, current CNN-based denoisers are biased towards focusing on low-frequency representations, while discarding the high-frequency components.
Ruijun Ma 0001 +5 more
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A Fault Diagnosis Method With Bitask-Based Time- and Frequency-Domain Feature Learning
IEEE Transactions on Instrumentation and Measurement, 2023Ting Huang +2 more
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Contrastive Learning with Frequency-Domain Interest Trends for Sequential Recommendation
Proceedings of the 17th ACM Conference on Recommender Systems, 2023Yichi Zhang +2 more
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Engineering Applications of Artificial Intelligence, 2021
Cheng Wang, Delei Chen, Xiongming Lai
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Cheng Wang, Delei Chen, Xiongming Lai
exaly
Frequency Domain Based Learning with Transformer for Underwater Image Restoration
2022Danxu Wang, Zhonglin Sun
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