Showing 301 - 320 results of 5,092 for search 'control more optimization', query time: 0.22s Refine Results
  1. 301

    An Application of Ant Colony-Fuzzy Logic Controller for Shunt Active Filter in PV-UPQC by K. Sahithi, N. Yadaiah

    Published 2025-07-01
    “… This paper presents an intelligent, optimized control approach designed to enhance the quality of power in power grids. …”
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    Article
  2. 302

    Refining efficiency in standalone proton exchange membrane fuel cell systems through gross hopper optimization-based maximum power point tracking control by Nethra K., Reddy K. Jyotheeswara, Dash Ritesh, Parida Prasanta Kumar, Swain Sarat Chandra, Dhanamjayulu C., Mahapatro Abinash

    Published 2025-01-01
    “…The key findings reveal that the proposed method achieves a tracking efficiency of more than 98.3% under standard operating conditions and maintains an efficiency greater than 96.5% during dynamic changes, outperforming the controllers based on the adaptive Neural Network (NN) and the Adaptive Neuro-Fuzzy Inference System (ANFIS). …”
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  3. 303
  4. 304

    Formation control method for multiple flight vehicles based on adaptive dynamic programming by Jie XIAO, Qingpu TANG, Jiale LI, Guofei LI

    Published 2025-05-01
    “…To address these challenges, advanced control methods are essential. Reinforcement learning theory has emerged as a powerful approach to solving optimal control problems in nonlinear systems. …”
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    Article
  5. 305

    Energy harvesting enhancement: A roadmap for systematically tuning controllers applied on synchronous generators of wind turbines by John Breno Santos Freitas, Felipe Augusto Silva Martins, Vinicius Foletto Montagner, Paulo Jefferson Dias de Oliveira Evald

    Published 2025-04-01
    “…The findings of this work contribute to the automation of the controller tuning of PMSG‐based wind turbines, enhancing its power generation with more precise current tracking using optimized FOC.…”
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    Article
  6. 306

    Heliocentric Orbital Repositioning of a Sun-Facing Diffractive Sail with Controlled Binary Metamaterial Arrayed Grating by Alessandro A. Quarta

    Published 2025-08-01
    “…In this work, an optimal control law is employed to execute a rapid phasing maneuver along an elliptical heliocentric orbit with specified characteristics, such as those of Earth and Mercury. …”
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    Article
  7. 307

    Real-time congestion control using cascaded LSTM deep neural networks for deregulated power markets by G. Madhu Mohan, T. Anil Kumar, A. Srujana, Yasser Fouad, Alexey Mikhaylov, Nora Baranyai, Kitmo, Ch. Rami Reddy

    Published 2025-08-01
    “…Abstract In deregulated power markets (DPMs), transmission-line congestion has become more severe and frequent than in traditional power systems. …”
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  8. 308
  9. 309

    Prediction-Based Distributed State Estimation Control for IoT-Enabled Train Positioning Systems by L. Ponnarasi, P. B. Pankajavalli, Y. Lim, R. Sakthivel, Sultan Alfarhood, Mejdl Safran

    Published 2025-01-01
    “…As a result, the improved state estimation enhances the reliability and performance of the controller, contributing to more accurate and stable train operation. …”
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  10. 310
  11. 311

    Tuning Mechanism and Parameter Optimization of a Dynamic Vibration Absorber with Inerter and Negative Stiffness Under Delayed FOPID by Junlin Li, Yunxia Sun, Xueling Liu, Yufeng Zhang

    Published 2025-06-01
    “…The dynamic vibration absorber (DVA) based on delayed fractional PID (DFOPID) can achieve a more superior vibration suppression effect. However, the strong nonlinear characteristics of the system and the computational burden resulting from its high dimensionality make solving and optimizing more challenging. …”
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    Article
  12. 312

    Railway Safety Risk Assessment and Control Optimization Method Based on FTA-FPN: A Case Study of Chinese High-Speed Railway Station by Qi Zhang, Yanhui Zhuang, Yuguang Wei, Hao Jiang, Hao Yang

    Published 2020-01-01
    “…Then, it builds up a bi-objective risk control model, making the minimum safety risk level and minimum necessary cost as the objectives, and it designs discrete particle swarm optimization algorithm to solve the risk control model. …”
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  13. 313
  14. 314

    Prescribed Performance Trajectory Tracking Control for Under-Actuated Underwater Vehicles With Adaptive Dynamic Programming by Xiumei Han, Yahan Zhang, Mengnan Hao, Yupeng Jia

    Published 2025-01-01
    “…Then the dynamic of velocity tracking error is formulated and a cost function is given. The optimal control law is designed by ADP. By combining the backstepping and ADP, not only an optimal control law is desgined, but also the prescribed performance is guaranteed. …”
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  15. 315
  16. 316

    Can Jurors Disregard Inadmissible Evidence? Using the Multiphase Optimization Strategy to Test Interventions Derived from Cognitive and Social Psychological Theories by Pamela N. Sandberg, Tess M. S. Neal, Karey L. O’Hara

    Published 2024-12-01
    “…The goals of this research were to (1) test the main and interactive effects of four theory-driven candidate strategies to help jurors disregard inadmissible evidence (i.e., inducing suspicion, giving a substantive reason for disregarding, committing to disregarding, advising future jurors) and identify an optimized intervention package, and (2) evaluate whether adding the optimized intervention package showed more favorable effects than judicial instructions only. …”
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  17. 317

    Improving Frequency Control of Multi-Area Interconnected Hydro-Thermal Power System Using PSO Algorithm by Dao Huy Tuan, Van Nguyen Ngoc Thanh, Dat Nguyen Chi, Van Huy Pham

    Published 2025-03-01
    “…This paper explores a method that combines traditional PID control with the Particle Swarm Optimization (PSO) algorithm to improve frequency regulation in interconnected hydropower systems. …”
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  18. 318

    Operationalizing game-theoretic weighting in public hospital cost control: an implementation framework from Chinese tertiary hospitals by Zhihao Yu, Guangning Sun, Shuaijun Lin, Haoqian Hu, Jing Xu

    Published 2025-03-01
    “…By harmonizing expert subjective judgments with objective data dispersion, the framework aims to mitigate subjective biases in hospital cost control, address deficiencies in the top-level design of existing public hospital cost control strategies, and provide a more scientific and systematic cost management approach for public hospitals. …”
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  20. 320

    Results on Solution Set in Certain Interval-Valued Controlled Models by Savin Treanţă, Omar Mutab Alsalami

    Published 2025-01-01
    “…More precisely, necessary and sufficient conditions of optimality are highlighted as part of a feasible solution. …”
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