Results 251 to 260 of about 953,953 (275)

Stability theory of universal learning network

1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929), 2002
Higher order derivatives of the universal learning network (ULN) has been previously derived by forward and backward propagation computing methods, which can model and control the large scale complicated systems such as industrial plants, economic, social and life phenomena. In this paper, a new concept of nth order asymptotic orbital stability for the
K. Hirasawa, M. Ohbayashi, M. Koga, N. Kusumi   +3 more
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Static Voltage Stability Margin Evaluation Considering Stochastic Power Injection Based on Deep Reinforcement Learning Theory

2022 IEEE 5th International Electrical and Energy Conference (CIEEC), 2022
Yi Yun Tian, Jun Yi Zhang, Wen Zhe Huang, Ceng Lin Ruan, Yi Chao Wu, Li Xia Sun   +5 more
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A NOTE ON STABILITY OF ERROR BOUNDS IN STATISTICAL LEARNING THEORY

Analysis and Applications, 2011
We consider a wide class of error bounds developed in the context of statistical learning theory which are expressed in terms of functionals of the regression function, for instance, its norm in a reproducing kernel Hilbert space or other functional space.
Li, Ming, Caponnetto, Andrea
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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.
Pawel Grzegorz Dabkowski, Krzysztof Galkowski, Eric Rogers, Zhonglun Cai, Christopher T. Freeman, Paul L. Lewin, Zdenek Hurák, Anton Kummert   +7 more
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Iterative Learning Control Design for Stability and Transient Performance Using Differential Linear Repetitive Process Stability Theory

IFAC Proceedings Volumes, 2013
Abstract Iterative learning control has been developed for systems that repeat the same task over a finite duration with resetting to the starting location once each repetition, or trial, is complete. The novel feature is the use of information generated on the previous trial to compute the control input for the next one and the basic problem is to ...
Wojciech Paszke, Krzysztof Galkowski, Eric Rogers   +2 more
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Analysis of robust control using stability theory of universal learning networks

IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028), 2003
Nth order asymptotic orbital stability analysis method has been proposed to determine whether a nonlinear system is stable or not with large fluctuations of the system states. In this paper, we discuss the stability of robust control of a nonlinear crane system using this method.
null Yunqing Yu, K. Hirasawa, null Jinglu Hu, J. Murata   +3 more
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Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization

Advances in Computational Mathematics, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sayan Mukherjee 0001, Partha Niyogi, Tomaso A. Poggio, Ryan M. Rifkin   +3 more
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EMOTIONAL STABILITY AND MOTIVATION OF 21ST CENTURY LEARNERS: A COMPARATIVE REVIEW OF LEARNING THEORIES

Quantum Journal of Social Sciences and Humanities, 2022
The education model in the 21st century shall be learner-centered. Learners are expected to be independent to engage in self-directed learning with the integration of technological tools in developing necessary 21st century skills. However, the foundation of this education model shall not be neglected as positive emotion and motivation are the ...
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On a unique solution and stability analysis of a class of stochastic functional equations arising in learning theory

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
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Iterative learning control for discrete linear systems with Zero Markov parameters using repetitive process stability theory

2011 IEEE International Symposium on Intelligent Control, 2011
This paper considers iterative learning control for the practically relevant case of deterministic discrete linear plants where the first Markov parameter is zero. A 2D systems approach that uses a strong form of stability for linear repetitive processes is used to develop a one step control law design for both trial-to-trial error convergence and ...
Lukasz Hladowski, Krzysztof Galkowski, Eric Rogers, Zhonglun Cai, Christopher T. Freeman, Paul L. Lewin   +5 more
openaire   +1 more source