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

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A Day-Ahead Optimal Battery Scheduling Considering the Grid Stability of Distribution Feeders by Umme Mumtahina, Sanath Alahakoon, Peter Wolfs

“…This study presents a comprehensive framework for optimizing energy management systems by integrating advanced methodologies for weather forecasting, energy cost analysis, and grid stability using a mixed-integer linear programming (MILP) algorithm. A novel approach is proposed for day-ahead weather forecasting, leveraging real-time data extraction from reliable weather websites and applying clear sky modeling to estimate photovoltaic (PV) generation with high accuracy. …”
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Analytical Modeling, Virtual Prototyping, and Performance Optimization of Cartesian Robots: A Comprehensive Review by Yasir Mehmood, Ferdinando Cannella, Silvio Cocuzza

“…Different modeling approaches of the main components of the Cartesian robot, which includes linear belt drives and structural components, are presented and discussed in this paper. …”
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Optimization of Line Planning by Integrating Ticket Pricing and Seat Allocation Decisions for High-Speed Railway by Xin Shi, Wenliang Zhou, Xiang Li

“…This study constructs a nonlinear optimization model of line planning integrating differentiated pricing and seat allocation decisions for HSR under elastic demand. To efficiently solve the model, an improved heuristic algorithm based on the simulated annealing framework combined with a linear passenger flow allocation method is proposed. …”
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A Make-to-Order Capacitated Lot-Sizing Model with Parallel Machines, Eligibility Constraints, Extra Shifts, and Backorders by Felipe T. Muñoz, Juan Ulloa-Navarro

“…This study addresses the multi-period, multi-item, single-stage capacitated lot sizing problem (CLSP) in a parallel machine environment with machine eligibility constraints under a make-to-order production policy. A mixed-integer linear programming (MILP) model is developed to minimize total operational costs, including production, overtime, extra shifts, inventory holding, and backorders. …”
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Communicating the Automatic Control Principles in Smart Agriculture Education: The Interactive Water Pump Example by Dimitrios Loukatos, Ioannis Glykos, Konstantinos G. Arvanitis

“…Going further, fertile ground is provided for experimentation on the efficiency of the PID controller via testing different algorithmic variants incorporating non-linear methods as well. …”
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Design and experimental study on vibration reduction of damping rings for four-branch star herringbone gear transmission by Linlin Liu, Sanmin Wang, Haoran Zou, Peng Chen

“…A multi-degree-of-freedom dynamic model integrates equivalent linear damping to analyze coupling effects between damping rings and gear meshing dynamics. …”
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An Optimization Strategy for Generator Start-up Sequence After Blackouts Considering the Cyber System Fault by Mingming LI, Lei SUN, Yinghao MA

“…The proposed model is linearized and reformulated into a mixed-integer linear programming model, and it can be efficiently solved by commercial solvers. …”
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Enhanced MILP Approach for Long-Term Multi-Vessel Maritime Inventory Routing with Application to Antarctic Logistics by Dagoberto Cifuentes-Lobos, Lorena Pradenas, Victor Parada

“…While existing models predominantly address short-term planning with single vessels, this research advances the field by presenting a tightened mixed-integer linear programming (MILP) model designed for long-term planning with multiple vessels. …”
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Guided Reinforcement Learning with Twin Delayed Deep Deterministic Policy Gradient for a Rotary Flexible-Link System by Carlos Saldaña Enderica, José Ramon Llata, Carlos Torre-Ferrero

“…The approach integrates the twin delayed deep deterministic policy gradient (TD3) algorithm with a linear quadratic regulator (LQR) acting as a guiding controller during training. …”
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A Hybrid EV Charging Approach Based on MILP and a Genetic Algorithm by Syed Abdullah Al Nahid, Junjian Qi

“…The proposed method includes (1) a centralized day-ahead optimal scheduling mechanism and EV shifting process based on mixed-integer linear programming (MILP) and (2) a distributed control strategy based on a genetic algorithm (GA) that dynamically adjusts the charging rate in real-time grid scenarios. …”
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Development and Use of Biotechnological System Models in Applied Scientific Research by M. A. Kerimov

“…The rationale for the efficacy of the interaction between the «machine» and «animal» subsystems is illustrated through the case study of the DeLaval™ DelPro MU480 linear milking machine. A block scheme for the «operator-machine» control system was developed. …”
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Urban land use optimization prediction considering carbon neutral development goals: a case study of Taihu Bay Core area in China by Mingfang Tang, Yuejing Rong, Lifu Zheng, Yue Luo, Kai Li, Xin Fan

“…Abstract Background Given the increasing commitment of numerous nations to achieving future carbon neutrality, urban development planning that integrating carbon storage considerations plays a crucial role in enhancing urban carbon efficiency and promoting regional sustainable development. …”
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A Single Layer Neural Network Implemented by a <inline-formula><tex-math notation="LaTeX">$4\times 4$</tex-math></inline-formula> MZI-Based Optical Processor by Farhad Shokraneh, Simon Geoffroy-Gagnon, Mohammadreza Sanadgol Nezami, Odile Liboiron-Ladouceur

“…Recently, the use of multiport optical interferometric-based linear structures in neural networks has attracted a great deal of attention. …”
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Hyperspectral Simultaneous Anomaly Detection and Denoising: Insights From Integrative Perspective by Minghua Wang, Lianru Gao, Longfei Ren, Xian Sun, Jocelyn Chanussot

“…The proposed algorithm is efficiently solved by the well-designed linearized alternating direction method of multipliers with an adaptive penalty. …”
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Optimize multi-objective transformation rules of water-sediment regulation for cascade reservoirs in the Lower Yellow River of China by Kunhui Hong, Aixing Ma, Wei Zhang, Mingxiong Cao

“…The results indicate a non-linear competitive relationship between the hydropower generation and sediment transport. …”
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Integrated Operational Planning of Battery Storage Systems for Improved Efficiency in Residential Community Energy Management Using Multistage Stochastic Dual Dynamic Programming:... by Pattanun Chanpiwat, Fabricio Oliveira, Steven A. Gabriel

“…Using stylized test data, we evaluate battery storage optimization strategies by comparing various SDDP model configurations against a linear programming (LP) benchmark model. The SDDP optimization framework demonstrates robust performance in battery operation management, efficiently handling diverse pricing scenarios while maintaining computational efficiency. …”
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A Dynamic Load Modulation Power Amplifier with Ferroelectric-Based Tunable Matching Network by Pavel Turalchuk, Irina Filipiuk, Bayazet Iskakov

“…Power amplifiers are crucial components that significantly influence the linearity and energy efficiency of next-generation communication system radio units. …”
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Operation Performance and Modeling for R32 Variable Frequency Rotary Compressor under Varied Operating Conditions by Yu Zhongyang, Tao Leren, He Jun, Yuan Zhaoyang

“…The results show that when the system is at a fixed pressure ratio and evaporating temperature, the electrical efficiency linearly decreases with the declining superheated temperature and an increase in suction vapor quality. …”
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Determining the Critical Nitrogen Application Rate for Maximizing Yield While Minimizing NO₃⁻-N Leaching and N₂O Emissions in Maize Growing on Purp... by Yuanyuan Liu, Yuanxue Chen, Dandan Peng, Huabin Lu, Ting Shuai, Ying Quan, Chunling Zeng, Kaiwei Xu

“…The results showed that grain yield initially increased linearly and then stabilized with increasing N rates, while NUE significantly decreased. …”
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