Showing 921 - 940 results of 10,710 for search 'control model optimization', query time: 0.34s Refine Results
  1. 921

    An Integrated Optimization Method for Energy-efficient Control of Hybrid Trains Considering Energy Management by Dalei HA, Wei HAN, Jinsong GUO, Zhuang XIAO, Qingyuan WANG

    Published 2019-07-01
    “…A type of EMUs which used catenary and on-board batteries as hybrid power system was studied. An integrated optimization method of operation control strategy and energy management was proposed. …”
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    Article
  2. 922
  3. 923

    Optimization of Central Pattern Generator-Based Torque-Stiffness-Controlled Dynamic Bipedal Walking by William Suliman, Chadi Albitar, Lama Hassan

    Published 2020-01-01
    “…In this paper, we propose a central pattern generator-based model to control the walking motion of a biped robot. …”
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    Article
  4. 924

    Design and Parameter Optimization of Trajectory Correction Control Strategy for Air Duct Structure Projectile by Silin Cui, Xing Liu, Shoushan Jiang, Wei Wu

    Published 2023-01-01
    “…The simulation results indicate that the control strategy optimization model can be solved by the proposed calculation method. …”
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    Article
  5. 925

    A Vehicle Trajectory Planning Method for Narrow Corridor in Mines Based on Optimal Control by LIN Xuerong, XIE Heping, XU Biao, YUAN Shijie, BIAN Yougang, HU Manjiang, QIN Zhaobo, HU Jiaxi

    Published 2022-10-01
    “…To solve this problem, this paper presents a trajectory planning method based on optimal control. Narrow corridor model and vehicle single-track kinematics model are adopted to construct the trajectory planning model based on optimal control with an approximate space-discretization strategy considering factors like vehicle passage time, vehicle-boundary collision and vehicle actuator range. …”
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    Article
  6. 926

    Optimized Rate Control Algorithm of High-Efficiency Video Coding Based on Region of Interest by Renjie Song, Yuandong Zhang

    Published 2020-01-01
    “…Optimized rate control (ORC) algorithm of ITU-T H.265/HEVC based on region of interest (ROI) is proposed. …”
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    Article
  7. 927

    Quasi‐Static Closed‐Loop Wind‐Farm Control for Combined Power and Fatigue Optimization by Ishaan Sood, Christophe del Fosse et d'Espierres, Johan Meyers

    Published 2025-02-01
    “…Subsequently, optimal control set points for the TotalControl reference wind power plant are obtained using the analytical model and tested in a wind‐farm emulator that is based on large eddy simulations. …”
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    Article
  8. 928
  9. 929

    An effective hybrid method for the optimal control of fraud rumor propagation on online social networks by Raheleh Khanduzi, Amin Jajarmi, Asiyeh Ebrahimzadeh

    Published 2025-08-01
    “…Abstract This paper develops an SEIR-type control model for an optimal control problem (OCP) related to rumor propagation (RP), aiming to address three control strategies designed to reduce the amount of false information and defrauders in online social networks (OSNs). …”
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    Article
  10. 930
  11. 931

    Investigating amplitude amplification in optimization-based control for a continuous stirred tank reactor by Kip Nieman, Helen Durand, Saahil Patel, Daniel Koch, Paul M. Alsing

    Published 2024-12-01
    “…Our previous works have studied the use of quantum computers and quantum algorithms for process control applications. Our prior work evaluated the use of a gate-based quantum amplitude amplification algorithm when applied to a model predictive control optimization problem, specifically evaluating a linear systems example. …”
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    Article
  12. 932

    The optimal spatially-dependent control measures to effectively and economically eliminate emerging infectious diseases. by Fan Xia, Yanni Xiao, Junling Ma

    Published 2024-10-01
    “…To address this, we developed an optimal control framework aimed at identifying strategies that minimize such costs while ensuring full control of a cross-regional outbreak of emerging infectious diseases. …”
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    Article
  13. 933

    A sagging control strategy for optimizing transmission capacity of flexible DC interconnection system by Qiuyue ZHANG, Chuyang WANG, Li ZHANG

    Published 2025-07-01
    “…In addition, in order to reduce the influence of droop coefficient change on the traditional control and optimize the energy consumption characteristics of the system, a mathematical model is established with the goal of minimizing the adjustment rate of the power flow and the energy consumption of the power generation of the system. …”
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    Article
  14. 934

    Energy-Efficient Optimal Control of Crude Distillation Columns Using Proportional-Integral-Plus (PIP) Framework: A Simulation-Based Approach by Mir Mohammad Khalilipour, Farhad Shahraki, Jafar Sadeghi, Kiyanoosh Razzaghi

    Published 2025-06-01
    “…Material and Method: Simulations of the CDU were carried out using Aspen Plus for modeling the distillation process and MATLAB for implementing the PIP control structure. …”
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    Article
  15. 935

    Integrated Optimization on Train Control and Timetable to Minimize Net Energy Consumption of Metro Lines by Yuhe Zhou, Yun Bai, Jiajie Li, Baohua Mao, Tang Li

    Published 2018-01-01
    “…This paper developed an integrated optimization model on train control and timetable to minimize the net energy consumption. …”
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    Article
  16. 936

    Multi-objective optimization placement strategy for SDN security controller considering Byzantine attributes by Tao WANG, Hongchang CHEN

    Published 2021-06-01
    “…By giving the software defined network distributed control plane Byzantine attributes, its security can be effectively improved.In the process of realizing Byzantine attributes, the number and location of controllers, and the connection relationship between switches and controllers can directly affect the key network performance.Therefore, a controller multi-objective optimization placement strategy for SDN security controllers considering Byzantine attributes was proposed.Firstly, a Byzantine controller placement problem (MOSBCPP) model that comprehensively considered interaction delay, synchronization delay, load difference and the number of controllers was constructed.Then, a solution algorithm based on NASG-II was designed for this model, which included the initialization function, the mutation function, the fast non-dominated sorting function and the elite strategy selection function.Simulation results show that this strategy can effectively reduce interaction delay, synchronization delay, load difference and the number of controllers, while improving control plane security.…”
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    Article
  17. 937

    Stochastic Optimal Control for Dynamic Pricing and Production in Fashion Retailing: An Economic Sustainability Approach by Xin Wang, Qi Chen

    Published 2024-01-01
    “…This study develops a stochastic optimal control model to optimize dynamic pricing and production strategies for fashion retailers facing uncertain demand and rapid product devaluation. …”
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    Article
  18. 938

    TLCD Parametric Optimization for the Vibration Control of Building Structures Based on Linear Matrix Inequality by Linsheng Huo, Chunxu Qu, Hongnan Li

    Published 2014-01-01
    “…The design of liquid dampers for structural vibration control involves the determination of the optimal parameters. …”
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    Article
  19. 939

    Optimal Control Strategies and Cost-Effectiveness Analysis of Tuberculosis Dynamics With Multidrug-Resistant Compartment by Damtew Bewket Kitaro, Boka Kumsa Bole, Koya Purnachandra Rao

    Published 2024-01-01
    “…In this current study, the theory of optimal control is applied to the model of tuberculosis with a multidrug-resistant compartment. …”
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    Article
  20. 940

    Stochastic Production Planning with Regime-Switching: Sensitivity Analysis, Optimal Control, and Numerical Implementation by Dragos-Patru Covei

    Published 2025-07-01
    “…In contrast to earlier studies that imposed static or overly simplified regime-switching assumptions, our work presents a fully integrated framework—combining optimal control theory, a regime-dependent system of elliptic PDEs, and comprehensive numerical and sensitivity analyses—to more accurately capture the complex stochastic dynamics of production planning and thereby deliver enhanced, actionable insights for modern manufacturing environments.…”
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    Article