Adaptive Transit Signal Priority Control for Traffic Safety and Efficiency Optimization: A Multi-Objective Deep Reinforcement Learning Framework by Yuxuan Dong, Helai Huang, Gongquan Zhang, Jieling Jin

“…In mixed traffic conditions, the framework performed best at a 75% CAV penetration rate, where buses, cars, and CAVs exhibited optimal efficiency and safety. Comparative analysis with fixed-time signal control and other DRL-based methods highlights the framework’s adaptability and robustness, supporting its application in managing mixed traffic and enabling intelligent transportation systems for future smart cities.…”
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Application of an Optimal Fractional-Order Controller for a Standalone (Wind/Photovoltaic) Microgrid Utilizing Hybrid Storage (Battery/Ultracapacitor) System by Hani Albalawi, Sherif A. Zaid, Aadel M. Alatwi, Mohamed Ahmed Moustafa

“…The FOPI controller’s performance was contrasted with a conventional PI controller in terms of variations in load power, wind speed, and solar insolation. …”
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UAV Trajectory Control and Power Optimization for Low-Latency C-V2X Communications in a Federated Learning Environment by Xavier Fernando, Abhishek Gupta

“…The simulation results reveal that the weighted total energy consumption of the OTFS-based system decreases up to 10% when combined with federated learning to locally process the sensor data at the vehicles and communicate the processed local models to the UAV. The weighted total energy consumption of the proposed federated learning algorithm decreases by 10–15% compared with convex optimization, heuristic, and meta-heuristic algorithms.…”
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Optimization and Numerical Verification of Microseismic Monitoring Sensor Network in Underground Mining: A Case Study by Chenglu Hou, Xibing Li, Yang Chen, Wei Li, Kaiqu Liu, Longjun Dong, Daoyuan Sun

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Software Package for Optimization of Burner Devices on Dispersed Working Fluids by Ruslan V. Fedorov, Igor I. Shepelev, Mariia A. Malyoshina, Dmitry A. Generalov, Vyacheslav V. Sherkunov, Valeriy V. Sapunov

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Enhancing Buck-Boost Converter Efficiency and Dynamic Responses with Sliding Mode Control Technique by Salah Hilo Mohammed Al-Attwani, Mustafa Teke, Ethar Sulaiman Yaseen Yaseen, Enes Bektaş, Nurettin Gökşenli

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Optimization of Land Use Patterns in a Typical Coal Resource-Based City Based on the Ecosystem Service Relationships of ‘Food–Carbon–Recreation’ by Wei-Ling Hsu, Zhicheng Zhuang, Cheng Li, Jie Zhao

“…In addition, the main influencing factors and their driving mechanisms were further explored using the geographical detector (Geo-Detector) and multi-scale geographic weighted regression (MGWR) models. Future land use changes were also predicted under traditional and constrained development scenarios using the GeoSOS-FLUS model. …”
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Identification and control of hydrothermal carbonisation process with energy consumption assessment by Riku-Pekka Nikula, Sajad Ahmadi, Velma Beri Kimbi Yaah, Hafiz Haq, Ville Tuomi, Mika Ruusunen

“…The performance was then analysed through process simulations with model predictive control. The optimal control model exhibited root mean squared error (RMSE) in the range of 3.19–11.47 °C in model validation with data sets of 31 experiments, whereas for process models it was 1.49–4.79 °C using their training data. …”
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Core Saturation Analysis of Magnetic-Valve Controlled Reactor Based on Jiles-Atherton Inverse Model by Caifei HU, Xueliang FAN, Li TONG, Liqun HE, Xiaohui LI, Hong ZHENG, Liusong ZHANG

“…In order to accurately analyze the core saturation of MCR in real time for optimizing the output control of MCR and guaranteeing the safe and reliable operation of magnetic valves, a mathematical model of MCR is established based on Jiles-Atherton (J-A) inverse model and the effects of different state variables on the output characteristics of MCR are compared and analyzed with the electromagnetic computing program. …”
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Modeling control strategies for concurrent epidemics of seasonal and pandemic H1N1 influenza by Olivia Prosper, Omar Saucedo, Doria Thompson, Griselle Torres-Garcia, Xiaohong Wang, Carlos Castillo-Chavez

“…Optimal control theory is used to identify and evaluate the 'best' control policies. …”
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A Variable Horizon Model Predictive Control for Magnetorheological Semi-Active Suspension with Air Springs by Gang Li, Lin Zhong, Wenjun Sun, Shaohua Zhang, Qianjie Liu, Qingsheng Huang, Guoliang Hu

“…To improve the characteristics of traditional model predictive control (MPC) semi-active suspension that cannot achieve the optimal suspension control effect under different conditions, a variable horizon model predictive control (VHMPC) method is devised for magnetorheological semi-active suspension with air springs. …”
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A Deep Reinforcement Learning–Based Urban Traffic Control Model for Vehicle-to-Everything Ecosystem by Lingyu Zheng, Han Chen, Yajie Zou

“…Findings highlight the transformative potential of integrating DRL with V2X communication technologies for enhancing traffic signal control in complex urban environments. The proposed model offers a flexible, adaptive approach to traffic management, optimizing flow while maintaining safety standards, with implications for future smart city developments.…”
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Integrated Systemic Modeling of Production Scheduling, Maintenance, and Quality Control in Closed-Loop Supply Chains by Javad Rahim, Ali Morovati Sharifabadi, Davood Andalib Ardakani

“…This study focuses on optimizing production scheduling, maintenance strategies, and quality control within CLSCs, specifically tailored for the home appliances industry. …”
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Tuning method of automatic controllers to object models with second order advance-delay and dead time by Dumitru Moraru

“…By integrating mathematical concepts such as linear algebra, mathematical analysis, the performance and reliability of automatic control systems can be optimized. In the paper, an efficient procedure has been developed for tuning the standardized P, PI, PD, and PID control algorithms to mathematical models of second-order advance-delay with dead time control objects with known parameters, using the maximal stability degree method with iterations. …”
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Research on the Informatization Construction and Development Mode of Internal Control in Colleges and Universities Based on Game Model by Yuzhen Cheng

“…The model test and case study prove that the fully commissioned development mode is the optimal mode for the informatization construction of internal control in colleges and universities, and relevant suggestions are made. …”
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Lateral Controller for Autonomous Vehicle Path Tracking Based on MPC-SMC Dual Model System by Qingguo Sun, Kai Zhu

“…The accuracy of the path tracking process of autonomous vehicles is influenced by the instability of a single controller, resulting in large tracking errors. To tackle this problem, this paper proposes a lateral controller based on the joint action of model predictive control (MPC) and sliding model control (SMC). …”
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Speed sensorless sliding mode control of wave power generation based on model predictive strategy by LIANG Haohui, YANG Junhua, YANG Mengli, WANG Chaofan, HUANG Yi, LUO Qi

“…Through vector control and model predictive current control, the current was tracked to capture the maximum power of wave system. …”
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Model Predictive Excitation Controller for Synchronous Condenser Coordinated With Wind Farms in Sending-End System by Lingfeng Zheng, Yongzhi Zhou, Hongda Cai, Xiaoming Liu, Donglei Sun

“…The proposed controller predicts the future behavior of the system and determines the optimal control input using model predictive control (MPC) algorithm with extended and linearized state space model of sending-end system. …”
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Multimodal Control by Variable-Structure Neural Network Modeling for Coagulant Dosing in Water Purification Process by Jun Zhang, Da-Yong Luo

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Computationally Efficient Model Predictive Control of Delta-Connected CHB-Based Active Power Filter by Kehl Zdeněk, Glasberger Tomas, Peroutka Zdeněk

“…The control combines the modified instantaneous active-reactive power (PQ) theory for power grid control and subordinated optimized (two-step) finite control set model predictive control (FCS-MPC) for control of CHB converters. …”
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