Research on Key Technologies of Virtual Coupling Control System for Autonomous-rail Rapid Tram by HUANG Qiang, YUAN Xiwen, HU Yunqing, LI Cheng, HUANG Ruipeng, TANG Xiang

“…A safe braking model of autonomous-rail rapid tram is initiatively used to derive the minimum space headway for operation safety between coupled formations, and the collaborative planning and MPC-based collaborative control algorithms utilizing an optimal control approach are applied to guarantee the safe, punctual, comfortable, and efficient operation of coupled formations. …”
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Enhanced genetic algorithm for indoor low-illumination stereo matching energy function optimization by Zhang Hongjin, Wei Hui

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Distributed Frequency Regulation Method for Power Grids Considering the Delayed Response of Virtual Power Plants by Jun Qi, Anning Ying, Bohang Zhang, Dan Zhou, Guoqing Weng

“…To tackle the challenges of distributed flexible resource coordination and inherent control delays in virtual power plant (VPP)-participated frequency regulation (FR) for interconnected power systems, this paper proposes a novel distributed model predictive control (DMPC)-based FR strategy with time-delay compensation. …”
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Study on intelligent height adjustment control method of shearer based on coal-rock interface recognition by Songyong LIU, Cheng CHENG, Hongzhuang WU, Yuming CUI, Deyuan MENG, Lei SI

“…Furthermore, based on the kinematics and state space model of shearer, a neural network observer based indirect adaptive performance control (NOIAPPC) method is developed for automatic height adjustment. …”
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Simulation and Experimental Analysis of Servo Drive System Using Fuzzy PID Technology of Manipulator Consisting of Electric Steering Gear Based on Orthogonal Optimization by CHEN Rui, ZHOU Haibo, YU Hengbin, LI Xia

“…In order to improve the accuracy and stability of the motion control of the manipulator consisting of electric steering gear, a fuzzy PID intelligent control method based on orthogonal test method is proposed In this paper, the electric steering gear is used as the actuator, and the mathematical model of the pickup robot joint servo drive system is established The orthogonal experimental design and fuzzy control method are added under the traditional PID (proportion, integration, differentiation) control strategy In the Simulink software simulation environment, the openloop control, orthogonal optimization PID control and fuzzy PID control of the manipulator joint drive system are simulated, and the motion control experiments of singledegreeoffreedom and doubledegreeoffreedom manipulators are carried out Simulation and experimental analysis show that the PID parameters can be adjusted by orthogonal test method, which can quickly determine the appropriate PID parameters and greatly reduce the number of trials The fuzzy control can improve the adaptability of PID control, which can significantly reduce the overshoot of the system, slightly increase the rise time and the adjustment time of the system, and improve the accuracy and stability of the system…”
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Experimental investigation and laser control in Ti10Mo6Cu powder bed fusion: optimizing process parameters with machine learning by Ouf A. Shams, Hanan B. Matar Al-Baity, Luttfi A. Al-Haddad

“…A novel ML-assisted laser control framework was proposed by the means of integrating GBDT predictions into a feedback-based optimization system to dynamically adjust process parameters. …”
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Robust adaptive control with dung beetle optimization algorithm and disturbance observer for load displacement tracking of shock absorber damper test bench. by Xiangfei Tao, Kailei Liu, Dong Han, Jing Yang, Hongbin Qiang

“…The dung beetle optimization algorithm is specifically designed to iteratively optimize the control parameters of the robust adaptive controller. …”
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The algorithm for selection of interval of parameters recalculation of control and management objects in automatic control systems of process engineering by A. H. Тыныныка

“…The algorithm is proposed to be used as a universal sequence of actions in the implementation of the various ways to achieve optimal control. The paper shows the possibility of using the algorithm in the management of dynamic objects with predictive models.…”
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Influencing factors of cross screening rate and its intelligent prediction model by Lala ZHAO, Feng XU, Chenlong DUAN, Chenhao GUO, Wei WANG, Haishen JIANG, Jinpeng QIAO

“…Based on linear regression (LR), support vector machine (SVM), decision tree (DT) and random forest (RF) algorithms, four intelligent prediction models of cross screening rate were established. Combined with particle swarm optimization (PSO), the hyper-parameter combination optimization of support vector machine, decision tree and random forest models is carried out to obtain the optimal parameter combination of the model and improve the prediction performance and generalization ability of the model. …”
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Optimized frequency stabilization in hybrid renewable power grids with integrated energy storage systems using a modified fuzzy-TID controller by Mohamed Khamies, Ahmed H. A. Elkasem, Salah Kamel, Mohamed Hashem

“…Abstract This article presents several innovative methods to mitigate frequency deviations in hybrid renewable power grids (HRPGs) with high penetration of renewable energy sources (RESs). Two models of the HRPGs are considered: the first model is a two-area power grid that combines three conventional power plants and two RESs in each area, while the second model is the IEEE 39-bus system. …”
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The Application and Optimization of a New Tunnel Ventilation Method for the Control Room of Electric Submersible Pump Systems on Jack-Up Offshore Platforms by Tenghua Gao, Menglin Li, Shunxin Zhang, Yuwei Wu, Yu Zhang, Xiaoyu Wang, Xiangfeng Zeng, Shengxiang Huang, Wenyu Yang

“…At the beginning of the research, a three-dimensional physical model of the room’s air conditioning and ventilation system was constructed using Rhino 7 software. …”
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Design and Optimization of a Compliant Morphing Trailing Edge for High-Lift Generation by Salvatore Ameduri, Bernardino Galasso, Maria Chiara Noviello, Ignazio Dimino, Antonio Concilio, Pietro Catalano, Francesco Antonio D’Aniello, Giovanni Marco Carossa, Laurent Pinazo, John Derry, Britney Biju, Shruthi Shreedharan

“…Starting from this scheme, a simplified FE model was introduced. The scope was to have an efficient predictive tool suited for optimization processes. …”
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Optimal selection of high-production well targets for fault-controlled fractured-vuggy reservoir in Shunbei oil and gas field, Tarim Basin by Lijun GAO, Haiying LI, Wei GONG, Wei YANG, Hongyan LI

“…Existing reservoir characterization, target selection, and well trajectory design technologies are inadequate for the precise delineation of ultra-deep fault-controlled fractured-vuggy systems and high-yield well trajectory optimization. …”
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Synergistic Integration of LQR Control and PSO Optimization for Advanced Active Suspension Systems Utilizing Electro-Hydraulic Actuators and Electro-Servo Valves by Trong Tu

“…This research remarks the fundamentals of the experimental validation and further refinement of these control algorithms to adapt to various driving conditions and vehicle models, ultimately aiming to transition these optimized controllers from theoretical frameworks to practical, real-world applications. …”
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Entropy production minimization in a tubular ammonia synthesis reactor: a mathematical optimization approach with variable geometry and heat flux control by Diego F. Mendoza, Juan Carlos Quintero-Díaz, Signe Kjelstrup

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Forecast-Aided Converter-Based Control for Optimal Microgrid Operation in Industrial Energy Management System (EMS): A Case Study in Vietnam by Yeong-Nam Jeon, Jae-ha Ko

“…The forecasted load data is then used to optimize charge/discharge schedules for energy storage systems (ESS) using a Particle Swarm Optimization (PSO) algorithm. …”
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Controlled fermentation of food industrial wastes to develop a bioorganic fertilizer by using experimental design methodology by Khadija Atfaoui, Abdessamad Ettouil, Mouhcine Fadil, Oubihi Asmaa, Soltana Inekach, Mohammed Ouhssine, Abdelkader Zarrouk

“…To determine with precision, the optimum conditions of this fermentation an optimization design was applied. As a result of experiments and statistical validation of the fitted model, the bioorganic fertilizer with the lowest pH value was achieved after fermentation of 53.2% OMW, 19.1% molasses, 21.3% rice hulls and 6.4% inoculum content. …”
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Adaptive sliding mode fault-tolerant control of UAV systems based on radial basis function neural networks by Dehua Zhang, Lei Meng, Yao Hao, Ruixue Xia

“…To improve system resilience and achieve swift recovery without depending on fault detection, a passive Fault-Tolerant Control (FTC) approach is developed, combining Sliding Mode Control (SMC) with Radial Basis Function (RBF) neural networks. …”
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A novel virtual inductor optimization methodology of virtual synchronous generators for enhanced power decoupling by Xin Zhang, Lijiao Gong, Yanjun Zhang, Xiaolei Ma, Lianshan Han, Santao Jiang, Weiji Zhou

“…This model facilitates the analysis of power stability under different control parameters and resistance-to-inductive reactance ratios in the grid line. …”
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Design and analysis of active queue management algorithm based on predictive control by WANG Ping, CHEN Hong, LU Xiao-hui

“…Model predictive control as a novel active queue management（AQM） algorithm was proposed for Internet system with large delay,called MPAQM.Considering the causality of time-delay system,the predicted output was defined.Then,the control requirement was converted to the optimal control objective,and the drop probability was obtained by solving the optimal problem.Furthermore,the delay-independent stability condition of closed-loop system was derived,which gave the guidelines how to select the parameters of MPAQM algorithm to assure the stability and fast convergence of the network system.The performances of MPAQM were evaluated through a series of simulations in NS2 under the single/multiple topology.The simulation results show that the queue length with MPAQM algorithm reaches the desired value with minimal tracking error and lower drop probability.MPAQM algorithm outperforms RED,PI and SPI-RED algorithms in terms of disturbance rejection,stability,and robustness.…”
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