Fuzzy self-tuning fractional order PD permanent magnet synchronous motor speed control based on torque compensation by Dejun Liu, Junjie Han, Guangda Chen, Yanming Cheng, Xinyue Liang, Chao Song

“…Abstract The permanent magnet synchronous motor control system is characterized by its nonlinear and strongly coupled complexity, presenting significant challenges for control performance optimization. To address these challenges, a Fuzzy adaptive fractional order $$PD^{\mu }$$ control strategy based on torque observation compensation is proposed. …”
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Time-Series Load Online Prediction of Wind Turbine Based on Adaptive Multisource Operational Data Fusion by Ruojin Wang, Xiaodong Wang, Deyi Fu, Bin Yang, Yingming Liu

“…According to the 15 MW semisubmersible offshore WTG load prediction example, the prediction error of this method is about 4% under normal data conditions and 6% under abnormal data conditions, and the calculation time of 200 sets of test data is 0.053 s, which meets the needs of pitch control and has the potential to be applied in the optimization of pitch control strategy.…”
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An ACOA-AFSA Fusion Routing Algorithm for Underwater Wireless Sensor Network by Huafeng Wu, Xinqiang Chen, Chaojian Shi, Yingjie Xiao, Ming Xu

“…Due to intrinsic properties of aqueous environments, routing protocols for underwater wireless sensor network (UWSN) have to cope with many challenges such as long propagation delay, bad robustness, and high energy consumption. Basic ant colony optimization algorithm (ACOA) is an intelligent heuristic algorithm which has good robustness, distributed computing and combines with other algorithms easily. …”
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Influences of Exit Advance Guide Signs on the Trajectory and Speed of Passenger Cars in Highway Tunnels by Ting Shang, Peng Wu, Guan Lian, Qijin Sheng

“…Thus, the exit guide signs in the tunnel played a certain optimization role in improving the traffic flow state of the section and reducing the traffic accident rate.…”
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Improved Clonal Selection Algorithm Based on Biological Forgetting Mechanism by Chao Yang, Bing-qiu Chen, Lin Jia, Hai-yang Wen

“…It aims to use the abstract mechanism of biological forgetting to eliminate antibodies that cannot actively participate in high-frequency mutations in the antibody candidate set and to improve the problem of insufficient diversity of antibodies in the clonal selection algorithm, which is prone to fall into the local optimal. Compared with the existing clonal selection and genetic algorithms, the experiment and time complexity analysis show that the algorithm has good optimization efficiency and stability.…”
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Rolling Bearing Diagnosis Based on Adaptive Probabilistic PCA and the Enhanced Morphological Filter by Yuanqing Luo, Changzheng Chen, Siyu Zhao, Xiangxi Kong, Zhong Wang

“…To solve this problem, a parameter adaptive PPCA method based on grasshopper optimization algorithm (GOA) is proposed. Finally, combining the advantages of the above algorithms, a comprehensive rolling bearing fault diagnosis method named APPCA-EMDF is proposed in this paper. …”
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Insights into Reaction Conditions for Selective Catalytic Reduction of NOx with a MnAl Oxide Catalyst at Low Temperatures by Hongjian Zhu, Luming Qiu, Rui Wang

“…This work would be beneficial to further optimization of LT SCR catalyst systems for practical applications.…”
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Thermal Heating in ReRAM Crossbar Arrays: Challenges and Solutions by Kamilya Smagulova, Mohammed E. Fouda, Ahmed Eltawil

“…Various works on temperature-aware optimization and remapping in ReRAM crossbar arrays reported up to 58&#x0025; improvement in accuracy and <inline-formula> <tex-math notation="LaTeX">$2.39\times $ </tex-math></inline-formula> ReRAM lifetime enhancement. …”
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Estimation Method of the Consolidation Potential of Rural Residential Land considering Farmers’ Willingness by Bo Liu, Chen Chen, Liang Tang, Zhisong Chen, Cheng Cao

“…The work of rural residential land consolidation is related to several aspects, such as optimization of the structure of rural layout and improvement of the ecological environment in rural areas. …”
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HPTLC determination of diosgenin in fenugreek seeds by Król-Kogus Barbara, Lamine Khenifi Mohammed, Migas Piotr, Boudjeniba Messaoud, Krauze-Baranowska Mirosława

“…A new HPTLC-densitometric method for diosgenin determination in fenugreek seeds was established after optimization of the conditions for efficient saponin extraction and acid hydrolysis. …”
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Exploring α−ψ−ϕ contractive mapping: novel fixed point theorems in complete b-metric spaces [version 2; peer review: 2 approved, 1 approved with reservations] by Maysoon Qousini, Berhanu Seboka, Fikadu Tesgera Tolasa, Gudeta Hanchalu, Nasir Ali, Tamene Raji

“…These findings provide deeper insights into the structure of b-metric spaces and open avenues for further applications in fields such as optimization and machine learning.…”
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A Decision-Making Model Using Machine Learning for Improving Dispatching Efficiency in Chengdu Shuangliu Airport by Yingmiao Qian, Shuhang Chen, Jianchang Li, Qinxin Ren, Jinfu Zhu, Ruijia Yuan, Hao Su

“…Aiming at the problem of optimizing the allocation of taxi resource, this paper is based on the cost-benefit analysis method to determine the factors that affect the taxi driver’s decision-making. …”
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High-Order Sliding Mode Control for Networked Control System with Dynamic Noncooperative Game Scheduling by Weixuan Wang, Shousheng Xie, Bin Zhou, Jingbo Peng, Lei Wang, Hao Wang, Yu Zhang

“…Subsequently, the quadratic optimization theory was adopted to regulate the control value following the implementation of the scheduling strategy to ensure that the control quality was further enhanced in the limited network service. …”
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UAV selection for high-speed train communication using OTFS modulation by Ehab Mahmoud Mohamed, Sherief Hashima

“…The optimization challenge arises from accurately estimating each UAV’s expected coverage period for the HST, given both are moving at high speeds and the UAV’s flying altitude is unknown to the HST. …”
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An Overview of the BALSAC Population Database. Past Developments, Current State and Future Prospects by Hélène Vézina, Jean-Sébastien Bournival

“…Future perspectives rest on the diversification of the sources of population data entered or connected to the database and, as a corollary, by continuous optimization of data processing and linkage procedures. …”
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Numerical Simulation Study on Construction Effect of Top-Down Construction Method of Suspended Diaphragm Wall for Deep and Large Foundation Pit in Complex Stratum by Yunhui Zhu, Fuxue Sun, Mingqing Liu, Qifeng Liu, Xiaochun Li, Gang Ge

“…By using Midas GTS finite element software, a three-dimensional model of deep and large foundation pit excavation with top-down construction method is established, and the internal force, deformation, and surface settlement of surrounding soil of suspended diaphragm wall with different depths into rock (1 m, 2 m, and 4 m) are analyzed. Furthermore, the optimization simulation research on the anchor locking scheme is carried out for the determined footed diaphragm wall. …”
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Identification of the Anisotropic Elastic Parameters of NiCrAlY Coating by Combining Nanoindentation and Finite Element Method by Jingyu Zhai, Yugang Chen, Xinyuan Song, Hongchun Wu, Qingkai Han

“…Moreover, they lay the foundation for further optimization design of hard coating damping.…”
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Dual-Band Circularly-Polarized Transparent GNSS Antenna for Vehicular Applications by Quoc Hung Dang, Nghia Nguyen-Trong, Thomas Kaufmann, Timo Saarnimo, Chris Hide, Christophe Fumeaux

“…The phenomenon of frequency shifting observed when converting a solid metal-layer antenna to a metal-mesh antenna is thoroughly analyzed and investigated, to assist in speeding up the antenna optimization. The proposed design is fabricated and measured to validate the design concepts.…”
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Low-Complexity Transmit Antenna Selection and Beamforming for Large-Scale MIMO Communications by Kun Qian, Wen-Qin Wang, Huaizong Shao

“…Transmit antenna selection plays an important role in large-scale multiple-input multiple-output (MIMO) communications, but optimal large-scale MIMO antenna selection is a technical challenge. …”
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Backward chained behavior trees with deliberation for multi-goal tasks by Haotian Zhou, Yunhan Lin, Huasong Min

“…However, backward chained BTs fail to handle disturbances optimally in multi-goal tasks. In this paper, we address this by formulating it as a global optimization problem and propose an approach termed BCBT-D, which endows backward chained BTs with the ability to achieve globally optimal disturbance rejection. …”
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