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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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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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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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2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 2021 Weiwei Cai +7 more
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2022 IEEE 5th International Electrical and Energy Conference (CIEEC), 2022 Yi Yun Tian +5 more
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Stability theory of universal learning network
1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929), 2002Higher 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 +3 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), 2003Nth 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 +3 more
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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 +2 more
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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 +2 more
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A Test Oracle for Reinforcement Learning Software Based on Lyapunov Stability Control Theory
2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE)Shiyu Zhang +4 more
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