Flow optimization in vascular networks by Radu C. Cascaval, Ciro D'Apice, Maria Pia D'Arienzo, Rosanna Manzo

“…The aim is to study the effect of truncation to the flow in the root edge of a fractal network, the effect of adding or subtracting an edge to a given network, and optimal control strategies on a network in the event of a blockage or unblockage of an edge or of an entire subtree.…”
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Reproductive management: conditioning, spawning and development of Peruvian grunt Anisotremus scapularis in southern Peru by Renzo Pepe-Victoriano, Jordan I. Huanacuni, Pablo Presa, Luis Antonio Espinoza-Ramos

“…The interannual spawning of this broodstock since September 2016 indicated the optimal control of its reproduction in captivity. The morphogenetic process of the embryo lasted 42 h at 18 °C compared to (31–41) h at 19 °C in northern Peruvian latitudes. …”
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Automatic Voltage Regulator Betterment Based on a New Fuzzy FOPI+FOPD Tuned by TLBO by Mokhtar Shouran, Mohammed Alenezi

“…To optimize the controller parameters, the Teaching–Learning-Based Optimization (TLBO) algorithm is utilized in conjunction with the Integral Time Absolute Error (ITAE) objective function, ensuring precise tuning for optimal control behavior. The methodology is validated through comparative analyses with controllers reported in prior studies, highlighting substantial improvements in performance metrics. …”
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Frequency analysis of a discrete-time fast nonlinear tracking differentiator algorithm based on isochronic region method by Zhizhou Zhang, Yueliang Pan, Weilong Zhao, Jinchu Zhang, Zheng Zi, Yuan Xie, Hehong Zhang

“…To start, the differential signal acquisition problem was equated to the time-optimal control (TOC) law for constructing a double-integral system using a state feedback approach. …”
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Vortex gust mitigation from onboard measurements using deep reinforcement learning by Brice Martin, Thierry Jardin, Emmanuel Rachelson, Michael Bauerheim

“…The objective is to solve the discrete-time optimal control problem of finding the pitch rate sequence that minimizes the lift perturbation, that is, the criterion where is the lift coefficient obtained by the unsteady vortex lattice method. …”
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Model Predictive Control for Automatic Carrier Landing with Time Delay by Kaikai Cui, Wei Han, Yujie Liu, Xinwei Wang, Xichao Su, Jie Liu

“…At the same time, a rolling optimal control block is designed based on the SP algorithm, in which the steady-state carrier air wake compensation is introduced to suppress the interference of the air wake. …”
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The Earth-Mars Transfer Trajectory Optimization of Solar Sail Based on hp-Adaptive Pseudospectral Method by Yufei Guo, Dongzhu Feng, Xin Wang, Cong Li, Yunzhao Liu

“…The hp-adaptive pseudospectral method combines the global pseudospectral method with the finite element method, which adopts double layer optimization strategy to solve the optimal control problem and has higher computational efficiency and accuracy than the traditional global pseudospectral method. …”
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Application of maximum principle optimizing active current subharmonic filter by V. N. Anosov, D. N. Belkova, V. M. Kaveshnikov

“…In this article, the structure and parameters of an optimal regulator for active filter current subharmonics (AFSC) are received based on the optimal control method L. S. Pontryagin. Such a regulator allows one to achieve complete suppression of the subsynchronous torsional vibrations of the rotors of gas turbine units (GTU) of an autonomous power plant at the stage of emergence and growth of resonance at one of the natural frequencies of GTU torsional vibrations and to prevent operation of vibration protection and emergency shutdown of the power plant. …”
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Numerical Study on the Drag Reduction for a D-Shaped Bluff Body with Wavy Trailing Edge Structures by H. Yang, D. Luo, T. Wang

“…The wavy TE was in the form of a cosine wave with two design parameters: amplitude and wavelength. To ascertain optimal control parameters, we employed an improved delayed detached eddy simulation (IDDES) technique for a comprehensive parametric analysis, focusing on the amplitudes and wavelengths of the cosine wave. …”
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Identification of mathematical model of diesel fuel hydrotreatment process for creation system optimization of group of technological units of oil refinery plant by R. A. Khakimov

“…The relevance of the study is determined by the fact that the existing optimal control systems solve the problem of local optimization of one process, rather than the problem of global optimization of oil refinery chains. …”
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Analytical forecasting of the optimal trajectory of mobile robot by A. A. Lobaty, D. V. Kapskiy, A. K. Ibrahim, I. A. Shishkovets

“…As a result of analytical synthesis, mathematical dependences were obtained to determine the control acceleration, which allow in the robot control system to obtain a given optimal control law in the form of the rotation angle of the velocity vector, which ultimately ensures the minimum energy consumption by the mobile robot for various conditions of its use. …”
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A Study of an IT-Assisted Higher Education Model Based on Distributed Hardware-Assisted Tracking Intervention by Haijun Liu

“…The proposed novel policy iterative algorithm is used to learn the optimal control protocol and achieve optimal consistency control. …”
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A two-stage flexible scheduling method for power systems with wind power considering the coordination of multiple resources by Aoyu Lei, Ligang Zhao, Yong Mei, Hongyue Zhen, Yongqiang Gao, Tinghui Zhou

“…In this paper, we propose a two-stage stochastic flexible dispatching method for power systems with large-scale wind power, which considers the coordination of unit commitment, optimal transmission switching, and optimal control of phase-shifting transformers within a unified framework. …”
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Forced motion control of a mobile robot by T. Yu. Kim, R. A. Prakapovich, A. A. Lobatiy

“…The method of the theory of optimal control according to the criterion of maximum speed, the wave algorithm for finding the shortest path, the method of finite automata for relay control of the acceleration of movement are used.Results. …”
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Linear Quadratic Regulator-Based Coordinated Voltage and Power Control for Flexible Distribution Networks by Zhipeng Jing, Lipo Gao, Chengao Wu, Dong Liang

“…Then, a discrete-time state-space model is constructed for flexible distribution networks with multi-port SOPs, using the voltage magnitude deviations at the AC side of all PQ-controlled voltage source converters (VSCs) and the loading rate deviations of the transformers corresponding to all PQ-controlled VSCs as state variables. An LQR-based optimal control model is then established, aiming to simultaneously minimize deviations of voltage magnitudes and transformer loading rates from their reference values, which correspond to the V_dc-controlled VSC. …”
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A Computationally-Efficient Data-Driven Safe Optimal Algorithm Through Control Merging by Marjan Khaledi, Bahare Kiumarsi

“…In this case, the optimal controller contributes more to the overall controller. …”
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Differential resistance to nematode infection is associated with the genotype- and age-dependent pace of intestinal T cell homing by Joshua Adjah, Bhavya Kapse, Hongwei Zhang, Susanne Hartmann, Sebastian Rausch

“…C57BL/6 mice failed in the optimal control of early nematode fitness, with mucosal Th2 response peaking after 2 weeks when the larvae had left the tissue and relocated to the gut lumen as adult worms. …”
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An adaptive voltage reference based multi-objective line flow control methods for MMC-MTDC system by Yuanshi Zhang, Wenyan Qian, Yiwen Feng, Fei Zhang, Chenyi Zheng, Qinran Hu, Liwei Wang

“…In this paper, a novel adaptive voltage reference based multi-objective optimal control method is proposed for proper line power flow control, as well as voltage deviation minimization and economic operation of the MTDC system. …”
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Effect of Photovoltaic Energy-Saving Window Factors on Building Heating Load Under Three Control Modes by Jiayi Li, Jianmei Wu, Hongpeng Xu

“…The main findings are as follows: (1) When PV glazing is controlled, clear glazing layers become the primary factor influencing the heating load. (2) In Modes 1 and 3, the configurations have a greater impact on heating load, reducing it by 34.62% and 39.60%, respectively, while Mode 2 shows a reduction of 17.93%. (3) Mode 2 is the optimal control mode, confirming the effectiveness of controlling PV glazing to reduce heating load.…”
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Optimal Containment Control for Unknown Active Heterogeneous MASs via Model-Free Recursive Reinforcement Learning by Lina Xia, Qing Li, Ruizhuo Song, Gaofu Yang

“…Then, a model-free recursive reinforcement learning (RRL) algorithm is devised to learn the optimal control protocol, which demonstrates that the weight iteration error asymptotically converges to zero, and the algorithm exhibits favorable convergence speed. …”
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