Results 281 to 290 of about 4,986,765 (359)
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IEEE Transactions on Instrumentation and Measurement, 2022
In this article, the command filter-based adaptive fuzzy finite-time output feedback control (FOFC) is investigated for the electrohydraulic servo system.
Jiafeng Li +4 more
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In this article, the command filter-based adaptive fuzzy finite-time output feedback control (FOFC) is investigated for the electrohydraulic servo system.
Jiafeng Li +4 more
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Engineering applications of artificial intelligence, 2020
Short-term natural gas consumption prediction is an important indicator of natural gas pipeline network planning and design, which is of great significance.
Weibiao Qiao +3 more
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Short-term natural gas consumption prediction is an important indicator of natural gas pipeline network planning and design, which is of great significance.
Weibiao Qiao +3 more
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IEEE Transactions on Automatic Control, 2021
This article is devoted to the adaptive asymptotic tracking for a class of uncertain nonlinear systems. The presence of unknown time-varying parameters and uncertain disturbances makes the systems in question essentially different from those in the ...
Yuanxin Li
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This article is devoted to the adaptive asymptotic tracking for a class of uncertain nonlinear systems. The presence of unknown time-varying parameters and uncertain disturbances makes the systems in question essentially different from those in the ...
Yuanxin Li
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Robust adaptive filter with lncosh cost
Signal Processing, 2020In this paper, a least lncosh (Llncosh) algorithm is derived by utilizing the lncosh cost function. The lncosh cost is characterized by the natural logarithm of hyperbolic cosine function, which behaves like a hybrid of the mean square error (MSE) and ...
Chang Liu, Ming Jiang
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IEEE Transactions on Cybernetics, 2021
This article proposes an adaptive neural-network command-filtered tracking control scheme of nonlinear systems with multiple actuator constraints. An equivalent transformation method is introduced to address the impediment from actuator nonlinearity.
Huanqing Wang +4 more
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This article proposes an adaptive neural-network command-filtered tracking control scheme of nonlinear systems with multiple actuator constraints. An equivalent transformation method is introduced to address the impediment from actuator nonlinearity.
Huanqing Wang +4 more
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Operational Research Quarterly (1970-1977), 1976
The adaptive filtering technique has recently been proposed as a method for short-to medium-term forecasting. The present note demonstrates some of the shortcomings implicit in the theory and gives illustrative examples.
Golder, E. R., Settle, J. G.
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The adaptive filtering technique has recently been proposed as a method for short-to medium-term forecasting. The present note demonstrates some of the shortcomings implicit in the theory and gives illustrative examples.
Golder, E. R., Settle, J. G.
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Neurocomputing, 2020
To solve the problem of the inaccurate prediction on remaining useful life (RUL) for lithium-ion battery, we proposed an integrated algorithm which combines adaptive unscented kalman filter (AUKF) and genetic algorithm optimized support vector regression
Zhiwei Xue +3 more
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To solve the problem of the inaccurate prediction on remaining useful life (RUL) for lithium-ion battery, we proposed an integrated algorithm which combines adaptive unscented kalman filter (AUKF) and genetic algorithm optimized support vector regression
Zhiwei Xue +3 more
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1993 IEEE International Symposium on Circuits and Systems, 2002
The application of the conjugate gradient (CG) method for the identification of bilinear systems is investigated. An algorithm based on the CG method is developed for adaptive-bilinear digital filtering. This algorithm outperforms the least mean square (LMS) and recursive least squares (RLS) methods in terms of speed of convergence.
Tamal Bose, Mei-Qin Chen
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The application of the conjugate gradient (CG) method for the identification of bilinear systems is investigated. An algorithm based on the CG method is developed for adaptive-bilinear digital filtering. This algorithm outperforms the least mean square (LMS) and recursive least squares (RLS) methods in terms of speed of convergence.
Tamal Bose, Mei-Qin Chen
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Adaptive Wavelet Domain Filter for Versatile Video Coding (VVC)
Data Compression Conference, 2019Owing to the ability of removing compression artifacts, extensive in-loop filters have been proposed for video coding standards. They are performed after the reconstruction of all coding units (CUs), however, none of them has been taken into account in ...
Suhong Wang +4 more
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