Fractional power series neural network for solving delay fractional optimal control problems by Farzaneh Kheyrinataj, Alireza Nazemi

“…Instead, linear transfer functions are employed which lead to explicit fractional power series formulae for the fractional optimal control problem. To do this, we use trial solutions for the states, Lagrange multipliers and control functions where these trial solutions are constructed by fractional power series neural network model. …”
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Coordinated Optimal Control of Secondary Cooling and Final Electromagnetic Stirring for Continuous Casting Billets by Dongsheng Wu, Zhenping Ji, Jian Yang, Hongwei Gao, Jiahui Yu, Zhaojie Ju

“…These parameters are usually optimized and controlled separately which caused internal quality fluctuations in unsteady conditions. …”
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Servo System Control of Turntable Lipstick-Filling Machine Based on Particle Swarm Optimization by Xiangqiang Zhong, Wenbo Tao, Lingling Zou, Huaian Yang, Shunyu Yao

“…Combined with the transfer function, the lipstick-filling servo system PID control and particle swarm optimization PID control simulation models were built. …”
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Optimization and Control Method for Adjustable Load Under Distributed Transactions Considering Security Verification by Xinyao Zhang, Xiaoyi Qian, Wenyao Sun, Yi Zhao

“…Finally, the impact of rapidly changing market conditions, distributed new energy, and uncertainty in actual electricity output on user optimization scheduling was emphasized, and a user optimization scheduling model was established to achieve low‐cost control. …”
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Particle Swarm optimization of Type-2 fuzzy control for regenerative braking of electric vehicles by Chunhui Liu

“…However, the distribution of braking force, particularly for the front axle motor, often fails to achieve an optimal balance between high energy recovery and vehicle stability.MethodsTo address this challenge, a model-based simulation framework integrating Type-2 fuzzy logic and Particle Swarm Optimization (PSO) was developed. …”
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Leader-follower Optimal Selection Method for Distributed Control System in Active Distribution Networks by Jian Le, Liangang Zhao, Cao Wang, Qian Zhou, Yang Wang

“…On these bases, this study further investigates the leader optimal selection method for a DG group to improve the response speed of the distributed control system. …”
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Coordinated Control of Fuel Cell Hybrid Power System for Trams Based on DP Optimization by Lei XU, Qing TIAN, Yankun LI

“…In order to reduce the hydrogen consumption of the fuel cell/lithium battery hybrid power system for trams, improve the rate of change of fuel cell power, and avoid the accumulation of lithium battery state of charge (SOC) power shortage or excess power supply, a coordinated control strategy of fuel cell hybrid power system for trams based on dynamic programming (DP)optimization was proposed. …”
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Optimal closed-loop deep brain stimulation using multiple independently controlled contacts. by Gihan Weerasinghe, Benoit Duchet, Christian Bick, Rafal Bogacz

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Optimal Signal Control Design for Isolated Intersections Using Sample Travel-Time Data by HimaBindu Maripini, Lelitha Vanajakshi, Bhargava Rama Chilukuri

“…The system demonstrated that sample data from four probe vehicles per phase is adequate for real-time optimal signal design. Results showed that the proposed model outperformed the existing Webster’s signal design procedure with a delay reduction of 11.78% when compared theoretically and 10.41% when implemented in VISSIM.…”
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DS-HPPO Deep Reinforcement Learning for Optimal DVFS Control on an Image Signal Processor by Yang Du, Wenhong Li, Xiaoyang Zeng

“…In this paper, we introduce the optimal DVFS control, formulated as a sequential decision-making problem, which aims to maximize the overall energy efficiency of processing the specific image task on an ISP chip. …”
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Forecast uncertainties real-time data-driven compensation scheme for optimal storage control by Arbel Yaniv, Yuval Beck

“…The refined real-time control scheme is integrated with a day-ahead optimization engine and forecast model, which is utilized for illustrative simulations to highlight its potential efficacy on a real site. …”
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Evaluation and Application of Urban Traffic Signal Optimizing Control Strategy Based on Reinforcement Learning by Yizhe Wang, Xiaoguang Yang, Yangdong Liu, Hailun Liang

“…Based on the three key parameters of cycle, arterial coordination offset, and green split, a set of hierarchical control algorithms based on reinforcement learning is constructed to optimize and improve the current signal timing scheme. …”
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Optimization of the control system of BP-PID rice polishing unit based on WAO algorithm by HUANG Jinliang, ZHOU Jin, YU Wei

“…ObjectiveAddress the current issues of poor internal flow stability, low single-machine efficiency, and subpar polishing quality in rice polishing units.MethodsFirstly, the traditional polishing machine was improved, its control parameters were clarified, and the mathematical model of the rice polishing unit was established. …”
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A Digital Twin Framework With Bayesian Optimization and Deep Learning for Semiconductor Process Control by Chin-Yi Lin, Tzu-Liang Tseng, Tsung-Han Tsai

“…This paper introduces an intelligent optimization framework that integrates Digital Twin (DT) technology, deep learning, and a tailored Multi-Restart Bayesian Optimization with Random Initialization (MRBORI) to enhance parameter control and yield in semiconductor manufacturing. …”
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Optimal Sequencing Control of Variable-speed Air-source Heat Pumps in Office Building by Liu Zhaohui, Li Zhenyu, Tan Hongwei, Xu Wen, Feng Wenbo, Yi Biyi

“…To develop this strategy, a variable-speed heat-pump model and the objective function for optimization of the heat-pump sequence control were first established, so as to determine the optimal solutions under partial building loads. …”
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Optimal pseudorandom sequence selection for online c-VEP based BCI control applications. by Jonas L Isaksen, Ali Mohebbi, Sadasivan Puthusserypady

“…Subject-specific templates were characterized and used in a forward-step first-order model to predict the chance of completion and accuracy score.…”
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Source-storage-load optimization control technology of DC microgrid with virtual energy storage by WANG Chang, JIANG Yu, FU Shouqiang, SHU Yinan, ZHANG Xiangyu

“…This paper first analyzes the energy conversion relationship between controllable load, the energy contained in the fan and capacitor storage capacity, and establishes the virtual energy storage model derived from controllable load and fan respectively. …”
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Maximum Torque per Ampere Control of PMSMs Using Real-Time Numerical Optimization by Yong Xu, Min-Yi Lin, Wen-Jie Wan, Yunchong Wang, Jian-Xin Shen

“…A flux-linkage based nonlinear PMSM model was developed to improve the torque control under dynamic conditions. …”
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Vehicle Attitude Control of Magnetorheological Semi-Active Suspension Based on Multi-Objective Intelligent Optimization Algorithm by Kailiang Han, Yiming Hu, Dequan Zeng, Yinquan Yu, Lei Xiao, Jinwen Yang, Weidong Liu, Letian Gao

“…Then, the optimization design model of the joint vehicle controller and vehicle dynamics is established to design the optimization fitness function oriented to the body attitude control performance, and the attitude optimal controller is calculated with the help of multi-objective intelligent optimization algorithm. …”
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System Optimization and Robustness Stability Control for GIS Inspection Robot in Complex Microgrid Networks by Yu Yan, Wei Jiang, Zhiping Luo, Jianjun Zhang, Weidong Liu

“…Through establishing the mechanical model of the GIS inspection robot under the hanging and vertical motion state, the robustness and stability of the GIS inspection robot in the special status have been analyzed, and the corresponding GIS inspection robot robust stability motion control method has also been proposed. …”
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