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    Second-order sliding mode optimization control of an inverted pendulum system based on fuzzy adaptive technology by Xuefeng Leng

    Published 2024-12-01
    “…The fuzzy adaptive second-order controller stabilizes the sliding mode at 0.1 in 1.25 s, while the fuzzy adaptive second-order controller makes the system state reach equilibrium in 15 s. The accuracy of fuzzy adaptive second-order sliding mode controller reaches 99.2%, which is superior to other methods in terms of balance accuracy and recall rate. …”
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  3. 1703

    Structure of Colloidal Flocs in relation to the Dynamic Properties of Unstable Suspension by Yasuhisa Adachi, Azusa Kobayashi, Motoyoshi Kobayashi

    Published 2012-01-01
    “…In order to reveal the roles of the polymers, the elementary rate process of polymer reaching to colloidal interface and subsequent reconformation process into more stable adsorption state are needed to be analyzed. …”
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  4. 1704

    Gompertz model with delays and treatment: Mathematical analysis by Marek Bodnar, Monika Joanna Piotrowska, Urszula Foryś

    Published 2013-03-01
    “…We mainly consider two types of delayed models, the one with the delay introduced in the per capita growth rate (we call it the single delayed model) and the other with the delay introduced in the net growth rate (the double delayed model).We focus on stability and possible stability switches with increasing delay for the positive steady state. …”
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  5. 1705

    Free-space continuous-variable quantum key distribution under high background noise by Xue-Tao Zheng, Qi-Fa Zhang, Jie Ling, Guang-Can Guo, Zheng-Fu Han

    Published 2025-03-01
    “…Any ambient light entering the system can significantly increase the bit error rate and even render the system inoperable. We present a continuous-variable quantum key distribution (CV-QKD) system that can function effectively during the day or even on rainy days without complex filtering operations. …”
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    Exercise- and diet-induced glycogen depletion impairs performance during one-legged constant-load, high-intensity exercise in humans by Martin Thomassen, Michael J. McKenna, Michael J. McKenna, Michael J. McKenna, Hugo Olmedillas, Victoria Wyckelsma, Jens Bangsbo, Nikolai Baastrup Nordsborg

    Published 2025-08-01
    “…We hypothesized that low initial muscle glycogen levels would impair constant-load intense one-legged knee extensor exercise lasting approximately 5 min and human muscle contractile function, as determined by maximal voluntary contraction (MVC), electrically induced single-twitch maximal force, rate of force development (RFD), and rate of relaxation. …”
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    Reinforcement Learning for Computational Guidance of Launch Vehicle Upper Stage by Shiyao Li, Yushen Yan, Hao Qiao, Xin Guan, Xinguo Li

    Published 2022-01-01
    “…However, guidance-based DNN has high computational efficiency. A reward function that satisfies the flight process and terminal constraints is designed, then the mapping from state to control is trained by the state-of-the-art proximal policy optimization algorithm. …”
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  12. 1712

    Data-driven dynamic friction models based on Recurrent Neural Networks by Gaëtan Cortes, Joaquin Garcia-Suarez

    Published 2025-06-01
    “…In this concise contribution, it is demonstrated that Recurrent Neural Networks (RNNs) based on Gated Recurrent Unit (GRU) architecture, possess the capability to learn the complex dynamics of rate-and-state friction (RSF) laws from synthetic data. …”
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    Kondo-Zeno crossover in the dynamics of a monitored quantum dot by Matthieu Vanhoecke, Marco Schirò

    Published 2025-07-01
    “…Remarkably, the long-lived Kondo state is robust to weak dissipation, as confirmed by the dot spectral function which features a clear Kondo peak at finite dissipation, even in a regime where charge fluctuations and the associated Hubbard bands have been quenched by the monitoring protocol. …”
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    Research on distributed economic dispatching algorithm for information security and privacy protection in smart grid by ZHANG Yanjun, SONG Mingshu, MA Xiaolei

    Published 2025-01-01
    “…In addition, the economic dispatching problem is extended to the distributed online framework to adapt to the time-varying cost function scenario. Under the proposed algorithm, the economic dispatching problem can be solved in an online way, and the algorithm can achieve the same sublinear rate regret $O\left( \sqrt{T} \right)$. …”
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