Release Control of Biologically Active Substances from Simulation Model of Silicone Liners by S. V. Gribanova, I. L. Udyanskaya, V. G. Yankova, T. K. Slonskaya, N. B. Epshtein, A. A. Zhukova, O. N. Plakhotnaya, V. N. Kuzina

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KAFA-Merge: Model Merging Method With Layer-Based Bayes+Linear Search by Muzaffer Kaan Yuce, Mehmet Fatih Amasyali

“…In this paper, we consider the model merging process for large language models (LLMs) under a two-stage optimization framework. …”
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A study on optimization of starting strategy for metro trains based on traction and braking characteristics by WU Yunfei, LU Yuanji, MOU Rong, WANG Long, LIU Xiong

“…Based on the existing control strategy that a train braking mitigation command should be sent when the train traction reaches a certain threshold, an optimized control strategy for sending such command was proposed when the traction reached a certain threshold according to the train traction brake characteristic parameters and worked out the level value when the train braking mitigation command was sent by creating the starting acceleration model and the force model of the train at the time of backward sliding. …”
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An Improved Maximum Power Point Tracking Control Scheme for Photovoltaic Systems: Integrating Sparrow Search Algorithm-Optimized Support Vector Regression and Optimal Regulation fo... by Mingjun He, Ke Zhou, Yutao Xu, Jinsong Yu, Yangquan Qu, Xiankui Wen

“…To satisfy the performance requirements for the current-tracking process, a linear quadratic (LQ) optimal control strategy was applied to design the current regulator based on the PV system’s state-space model. …”
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Collaborative Optimization of Passenger Control Strategy and Train Operation Plan with Variable Formations for a Rail Transit Network by Yonghao Yin, Jun Chen, Wenrui Zhao

“…We proposed a passenger control strategy and train operation plan collaborative optimization (PCS&TOP) model to schedule the train operation that improves the efficiency of passengers’ travel and reduces the cost of train operation for a rail transit network. …”
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Performance Portrait Method: Robust Design of Predictive Integral Controller by Mikulas Huba, Pavol Bistak, Jarmila Skrinarova, Damir Vrancic

“…In applications with dominant dead-time and loop time constants located in the feedback (sensors), as those, e.g., met in magnetoencephalography (MEG), it makes it possible to significantly improve the control performance. PPM shows that, despite the absence of effective analytical control design methods for such situations, it is possible to obtain high-quality optimal solutions for processes that require working with uncertain models specified by interval parameters, while achieving invariance to changes in uncertain parameters.…”
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Sensorless finite set predictive current control with MRAS estimation for optimized performance of standalone DFIG in wind energy systems by Toufik Mebkhouta, Amar Golea, Rabia Boumaraf, Toufik Mohamed Benchouia, Djaloul Karboua, Mohit Bajaj, Mohamed Chebaani, Vojtech Blazek

“…This paper introduces a sensorless control strategy combining Finite-Set Predictive Current Control (FSPCC) and Model Reference Adaptive System (MRAS) estimation to enhance the performance of standalone Doubly-Fed Induction Generators (DFIG) in wind energy systems. …”
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Multi-Objective Optimization of Energy Storage Station Configuration in Power Grids Considering the Flexibility of Thermal Load Control by Kaikai Wang, Yao Wang, Jin Gao, Yan Liang, Zhenfei Ma, Hanyue Liu, Zening Li

“…The proposed model was solved using the POA-GWO-CSO optimization algorithm to achieve the optimal energy storage deployment and cost efficiency. …”
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Optimization Strategy of Building Energy System Based on Deep Reinforcement Learning by Wenzhe SHI, Bingjie LI, Peipei YOU, Ling ZHANG

“…Firstly, a supply-demand side research framework for the energy system and device model is built. The building energy management problem under the real-time stage is constructed as Markov decision-making process, and the deep reinforcement learning theory is used to minimize the cost of electricity, ensure the indoor heat comfort level and maximize the consumption of renewable energy as the optimization goals, and the duel dual deep Q network algorithm is used for model training, and the trained model can make adaptive control decisions according to real-time environmental parameters. …”
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Active Attitude Stabilization and Power-Constrained Control of Bicycles Based on VSCMG System by Huifeng Kang, Xiangqiu Chen, Zehui Wang, Jifa Zhu, Guangqing Xia

“…A single-axis balance model was developed, employing a proportional–derivative (PD) controller to compute the total torque demand, combined with least-squares-based power-constrained optimization and a center-of-mass alignment algorithm to achieve stable control. …”
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Research on improved design of transformer multi-conductor transmission line model solution by LI Yang, TANG Zhiguo

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PID Control of Multisources Complex Excitations Active Vibration Isolation System: An Improved Particle Swarm Optimization Algorithm by Song Chunsheng, Jiang Youliang, Zhang Jinguang

“…Furthermore, this paper also sets up the acceleration feedback-based PID control model for multisources complex excitations active vibration isolation system, proposes an improved particle swarm optimization (PSO) algorithm of dynamic inertia weight factors used to optimize parameters of the built PID control model, and conducts simulation analysis. …”
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Short Landing Control Techniques Using Optimization of Flare Time Constant for High-Speed Fixed-Wing UAV by Ryoga Sakaki, Masazumi Ueba

“…After solving the nonlinear optimization problem to obtain the flare time constant, we first conduct longitudinal flight simulation to confirm both the accuracy of the optimal solution and the validity of the motion model used in the nonlinear optimization problem and, then, confirm the feasibility of the landing control technique with the optimized flare time constant using a six-degrees-of-freedom simulation.…”
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Adaptive Artificial Neural Network-Based Proportional Integral Controllers and Extremum Seeking Energy Optimizer for Wind Systems by Hassan Rafia, Hamid Ouadi, Brahim Elbhiri

“…This non-based model strategy provides flexibility and robustness in the presence of uncertainties in the WES parameters or without knowledge of the wind turbine characteristics.Simulations in MATLAB/Simulink show that the proposed controller significantly outperforms both the conventional PI controller and the Model Predictive Controller with Particle Swarm Optimization (MPC-PSO) in terms of accuracy, quality and robustness under various wind energy operating conditions. …”
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Scale-free fault-tolerant topology control algorithm in wireless sensor network with optimization of path energy consumption by Hao-ran LIU, Tao HAN, Ya-qian LI, Rong-rong YIN

“…According to the optimal value of nodes, the network topology was built based on a fitness model which could control the network average node degree, and a scale-free fault-tolerant topology control algorithm EETA(energy effi-ciency topology algorithm) having the characteristics that could minimize the path energy consumption was put forward. …”
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Design and implementation of Golden Eagle optimized cascaded PI and LQR controller for PFC SEPIC converter in EV charging by Vijayakumar S, Sudhakar N

“…The Golden Eagle Optimize the parameters of KP and KI of the PI controller and weighing matrix Q of the linear quadratic controller. …”
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Whale Optimization Algorithm-Based LQG-Adaptive Neuro-Fuzzy Control for Seismic Vibration Mitigation with MR Dampers by Xiufang Lin, Weiqing Lin

“…Finally, according to the active force estimated by the proposed LQG control, the developed inverse model is utilized to calculate the MR damper command signal. …”
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Joint Optimization of Multi-Period Empty Container Repositioning and Inventory Control Based on Adaptive Particle Swarm Algorithm by Jiaxin Cai, Ying Huang, Cuijie Diao, Zhihong Jin

“…Firstly, a joint optimization model integrating (s, S) inventory control strategy is constructed. …”
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Coordinative Optimization of Emergency Control Based on Constraint Consensus and Differential Evolution in Multi-DC Infeed Power Grid by Jun ZHUANG, Deshun WANG, Chenhao GAI, Jinhua XUE, Hongbao ZHU, Changgang LI

“…The coordinative optimization model of emergency control is constructed by considering three measures: DC power modulation, pump-storage shedding, and load shedding. …”
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Optimization of Switching Control and Microgrid Energy Management System with Alternate Arm Converter Based on Bacterial Foraging Algorithm by S. T. Rama, V. Rajini

“…In comparison to other controllers, the FOPID controller optimized by the bacterial foraging optimization technique (BFOT) produced the least total harmonic distortion (THD) of the AAC output voltage. …”
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