Grouping control of electric vehicles based on improved golden eagle optimization for peaking by Yang Yu, Yuhang Huo, Shixuan Gao, Qian Wu, Mai Liu, Xiao Chen, Xiaoming Zheng, Xinlei Cai

“…To address the problem of high lifespan loss and poor state of charge (SOC) balance of electric vehicles (EVs) participating in grid peak shaving, an improved golden eagle optimizer (IGEO) algorithm for EV grouping control strategy is proposed for peak shaving scenarios. …”
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Optimized Adaptive Fuzzy Synergetic Controller for Suspended Cable-Driven Parallel Robots by Yasser Hatim Alwan, Ahmed A. Oglah, Muayad Sadik Croock

“…The parameters of the controller are optimized using the Dragonfly Algorithm, a metaheuristic technique known for its simplicity and fast convergence. …”
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Research on energy optimization control strategy for parallel hybrid tractor based on AIPSO. by Xiaohui Liu, Yiwei Wu, Jingyun Zhang, Yifan Zhao, Yangming Hu, Xianghai Yan

“…The study includes the design of power system parameters and the construction of a dynamic model for the entire machine. Based on this, an energy optimization control strategy, termed adaptive immune particle swarm optimization fuzzy control strategy (AIPSOFCS), is proposed. …”
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Cooperative Optimal Control Strategy for Microgrid under Grid-Connected and Islanded Modes by Xuemei Zheng, Qiuming Li, Peng Li, Danmei Ding

“…The main purpose is to achieve cooperative optimal control under both grid-connected and islanded modes for the MG. …”
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Optimization of Frequency Control Parameters of Wind Farms Considering Inertia Security Requirement by LI Hongxin, ZHONG Zuhao, LU Yi, WEN Yunfeng

“…Then, the primary frequency regulation capability that wind farms can provide under different wind conditions is modeled with the goal of minimizing the adjustment of wind farm virtual inertia and frequency droop parameters under disturbances, and a dynamic optimization model for wind farm frequency control parameters is established. …”
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Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates by Roulet, Vincent, Srinivasa, Siddhartha, Fazel, Maryam, Harchaoui, Zaid

“…We study the performance of the aforementioned algorithms on various nonlinear control benchmarks, including autonomous car racing simulations using a simplified car model. …”
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Optimization of line control parameters for scroll compressors with variable base circle involute by 潘淑丽, 唐景春, 周培, 孙东方, 张郁, 刘向农

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Optimizing piezoelectric actuator placement for enhanced vibration control using genetic algorithms by Shuqing Wang, Huichao Jin, Yu Wang, Junyi Huo, Xudong Liu

“…The method was further extended to a vehicle suspension model, where the proposed system achieved near-zero suspension dynamic travel under step inputs, outperforming the other three control methods in terms of vibration suppression effectiveness. …”
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Optimizing Data Access for Wind Farm Control over Hierarchical Communication Networks by Jacob Madsen, Mislav Findrik, Tatiana Madsen, Hans-Peter Schwefel

“…In order to optimize the latter, we introduce an information quality metric and a mathematical model based on Markov chains, which are compared performance-wise to a heuristic approach for finding this parameter. …”
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Possible approaches to reproduction of endothelial dysfunction. searching for the optimal model by I. B. Tsorin, L. V. Kozhevnikova, S. A. Simonenko, I. F. Sukhanova, M. B. Vititnova, S. A. Kryzhanovskii

“…Purpose of the study. Search for an optimal approach to developing a translational model of endothelial dysfunction (ED).Materials and methods. …”
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Deep Reinforcement Learning-Based Motion Control Optimization for Defect Detection System by Yuhuan Cai, Liye Zhao, Xingyu Chen, Zhenjun Li

“…To address these challenges, this study proposes a deep reinforcement learning-based control scheme, leveraging DRL’s capabilities to optimize system performance. …”
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Dynamic Optimal Control Differential Game of Ecological Compensation for Multipollutant Transboundary Pollution by Zhigang Chen, Qianyue Meng, Huichuan Wang, Rongwei Xu, Yongxi Yi, Ying Zhang

“…This paper studies a Stackelberg differential game between an upstream region and a downstream region for transboundary pollution control and ecological compensation in a river basin and increases the number of pollutants assumed in the model to multiple. …”
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Simulation and Experimental Studies on Perfect Tracking Optimal Control of an Electrohydraulic Actuator System by R. Ghazali, Y. M. Sam, M. F. Rahmat, Zulfatman, A. W. I. M. Hashim

“…This paper presents a perfect tracking optimal control for discrete-time nonminimum phase of electrohydraulic actuator (EHA) system by adopting a combination of feedback and feedforward controller. …”
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Achieving Network Stability via Optimal Pinning Control in Weighted Complex Networks by Saber Jafarizadeh

“…Using the master-stability function method, direct optimization of the controllability measure is formulated as a multi-objective optimization problem with a Pareto frontier and multiple optimal points. …”
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Eco-Driving Optimal Controller for Autonomy Tracking of Two-Wheel Electric Vehicles by Y. Bello, T. Azib, C. Larouci, M. Boukhnifer, N. Rizoug, D. Patino, F. Ruiz

“…The optimal controller proposed in this paper is a nonlinear model predictive controller (NMPC) associated with a nonlinear unidimensional optimization. …”
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An optimization-inspired intrusion detection model for software-defined networking by Hui Xu, Longtan Bai, Wei Huang

“…Currently, more and more intrusion detection systems based on machine learning and deep learning are being applied to SDN, but most have drawbacks such as complex models and low detection accuracy. This paper proposes an enhanced spider wasp optimizer (ESWO) algorithm for feature dimensionality reduction of intrusion detection datasets and constructs a new intrusion detection model (IDM), namely ESWO-IDM, for SDN. …”
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Research on Wellbore Trajectory Optimization and Drilling Control Based on the TD3 Algorithm by Haipeng Gu, Yang Wu, Xiaowei Li, Zhaokai Hou

“…Therefore, this paper proposes a wellbore trajectory optimization model based on deep reinforcement learning to realize non-vertical well trajectory design and control while drilling. …”
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Control problem for the impulse process under stochastic optimization procedure and Levy conditions by Ya. M. Chabanyuk, A. V. Nikitin, U. T. Khimka

“…For the first time, a model of the control problem for the diffusion transfer process using the stochastic optimization procedure for control problem is proposed. …”
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Hierarchical optimal control of virtual power plants for source-network-load-storage by Zhaoze LI, Jihong ZHANG, Zhenkui WU, Zilei ZHANG, Qingsong HE

“…It focuses on the design of a layered optimization and control scheme for a virtual power plant, focusing on source-network load-storage. …”
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Research on Fractional-Order Control of Anchor Drilling Machine Optimized by Intelligent Algorithms by Jingkai Li, Jun Zhang, Jiaquan Xie, Wei Shi, Jianzhong Zhao

“…Additionally, robust control based on H∞ control theory was introduced to ensure reliable system performance under disturbances and model uncertainties. …”
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