Vibration Robust Optimal Semi-Active Control of Multi-Dimensional Vibration Isolator Based on Parallel Mechanism by GAO Xiang, NIU Junchuan, HE Lei, QIN Zhen, WANG Zhonglong

“…The robust optimal semi-active control algorithm is obtained by deducing linear matrix inequality. …”
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A mini review on AI-driven thermal treatment of solid waste: Emission control and process optimization by Dongjie Pang, Cristina Moliner, Tao Wang, Jin Sun, Xinyan Zhang, Yingping Pang, Xiqiang Zhao, Zhanlong Song, Ziliang Wang, Yanpeng Mao, Wenlong Wang

“…This review examines the deployment of AI-optimized control algorithms in processes including pyrolysis, incineration, and gasification. …”
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Second-order sliding mode optimization control of an inverted pendulum system based on fuzzy adaptive technology by Xuefeng Leng

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Enhancing Load frequency control in power systems using Puma Optimizer – Proportional Integral Derivative Method by Trung Kien Do, Thanh Long Duong

“…The control parameters of LFC must be optimally adjusted for stable system operation. …”
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Technological Parameter Optimization of Double-Press Precision Depth-Control Seeding and Its Application in Rice Production by Yangjie Shi, Xingye Shen, Xinhui Cheng, Jintao Xu, Jiawang Hong, Lianjie Han, Xiaobo Xi, Ruihong Zhang

“…Discrete element modeling (DEM) was employed to optimize key operational parameters—compaction force, soil covering cutter rotational speed, and penetration depth—using qualified seeding depth and missed seeding rates as performance metrics. …”
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Performance Evaluation of Metaheuristics for LQR Controller Optimization: A Two-Wheel Balancing Robot Case Study by Jose Ricardo Rivera-Ruiz, Ricardo Rojas-Galvan, Jose R. Garcia-Martinez, Edson Eduardo Cruz Miguel, Omar A. Barra-Vazquez, Maria Ines Cruz Orduna, Jesus Enrique Escalante-Martinez, Juvenal Rodriguez-Resendiz

“…Two-wheeled balancing robots are commonly modeled as inverted pendulum systems, which are inherently unstable and present significant challenges for control due to their nonlinear and underactuated dynamics. …”
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Research into performance optimization control strategy of a hydrostatic drive bulldozer based on the constant speed cruise by Hongbin Qiang, He Li, Shaopeng Kang, Kailei Liu, Jing Yang, Xingfei Luo

“…This strategy achieves optimal overall machine efficiency under cruise control by adjusting the engine throttle and the displacement of the hydraulic pump and motor. …”
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Stepper Motor Position Control Using PD and MPC Algorithms Embedded in Programmable Logic Controller by Anshul Jaswal, Ma'moun Abu-Ayyad, Yash Lad, Anilchandra Attaluri

“…This research studies the implementation of Proportional-Derivative (PD) and Model Predictive Control (MPC) approaches embedded in an industrial Programmable Logic Controller (PLC) to achieve the precise position control of a stepper motor. …”
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Simultaneous Optimization of Traffic Signal Control and Vehicle Platooning Scheme Based on Connected and Automated Vehicle (CAV) Technology by Jiwon Kang, Yongjun Choi, Keemin Sohn

“…A reinforcement learning (RL) algorithm is devised to simultaneously optimize both the traffic signal control and the platooning scheme in a unified modelling framework. …”
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Solving the Control Synthesis Problem Through Supervised Machine Learning of Symbolic Regression by Askhat Diveev, Elena Sofronova, Nurbek Konyrbaev

“…A reference model is then integrated into the control object model, which generates optimal motion trajectories using the derived optimal control functions. …”
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Optimal sterile insect release for area-wide integrated pest management in a density regulated pest population by Luis F. Gordillo

“…To determine optimal sterile insect release policies in area-wide integrated pest management is a challenge that users of this pest control method inevitably confront. …”
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A Novel Time Delay Nonsingular Fast Terminal Sliding Mode Control for Robot Manipulators with Input Saturation by Thanh Nguyen Truong, Anh Tuan Vo, Hee-Jun Kang

“…Manipulator systems are increasingly deployed across various industries to perform complex, repetitive, and hazardous tasks, necessitating high-precision control for optimal performance. However, the design of effective control algorithms is challenged by nonlinearities, uncertain dynamics, disturbances, and varying real-world conditions. …”
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Study on the Optimization of Aeration Scheme for a Spillway by SHI Die, LI Guodong, HE Cuiling, LI Pengfeng

“…Cavitation damage is easy to occur in discharge structures with high head and large flow.Based on the spillway project of a hydropower station in Northwest China,this paper studies the aeration and cavitation mitigation of spillway through the single hydraulic model test.The experimental results show that:The velocity of spillway chute is larger and the flow cavitation number is less than 0.3 under different conditions of flood frequency,so it is necessary to set up aeration and cavitation mitigation facility.Through the analysis of the cavitation mitigation effect of three different aerators,it can be seen that the aerator with flip bucket can mitigate cavitation,but there are different degrees of splash in the downstream.The aerator with convex bucket can form a stable cavity,and there is no splash in the downstream.The aerator with chute can form a stable cavity and flow pattern in the chute,and it is easy to construct,so it is the optimal aerator.In the optimal aerator,the aeration concentration from aerator to the front of the bucket lip is higher,which is 0.9%~63.1%,the aeration effect is good,and the purpose of aeration and cavitation mitigation is achieved.The research results can provide theoretical guidance and technical support for the follow-up energy dissipation and erosion control research of this project and the aeration and cavitation mitigation research of similar projects.…”
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Advances in Zeroing Neural Networks: Convergence Optimization and Robustness in Dynamic Systems by Xin Zhou, Bolin Liao

“…This paper systematically reviews recent advances in improving the convergence of ZNN models, focusing on the optimization of fixed parameters, dynamic parameters, and activation functions. …”
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Linear Quadratic Optimal Modeling for Metro Train Operation and Solving with Interior-point Algorithm by FENG Jianghua, WANG Bin, HU Yunqing, XU Shaolong, LI Xiangyu

“…It investigated the energy optimal control problem for metro train operation process and established a linear quadratic optimal model in according to the traction and brake capability, speed limits andpassenger comfort. …”
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Enhancing microgrid performance: Optimal proactive reactive power dispatch using photovoltaic active power forecasts by Alexander Casilimas‐Peña, Karol Rosen, César Angeles‐Camacho

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Impedance Model-Based Optimal Regulation on Force and Position of Bimanual Robots to Hold an Object by Darong Huang, Hong Zhan, Chenguang Yang

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Using multiple machine learning algorithms to optimize the water quality index model and their applicability by Fei Ding, Shilong Hao, Wenjie Zhang, Mingcen Jiang, Liangyao Chen, Haobin Yuan, Nan Wang, Wenpan Li, Xin Xie

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The Utilization of a Naïve Bayes Model for Predicting the Energy Consumption of Buildings by Behnam Sadaghat, Ali Javadzade Khiavi, Babak Naeim, Erfan Khajavi, Hadi Sadaghat, Amir Reza Taghavi Khanghah

“…It introduces a fusion of the African Vultures Optimization Algorithm (AVOA) and the Sand Cat Swarm Optimization (SCSO) with the Naïve Bayes (NB) model, aiming to elevate heating load prediction accuracy and streamline HVAC system optimization. …”
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Control Performance and Preliminary Application Investigation of Novel Rotational Impact Dampers by SHEN Junjie, WANG Jingjing

“…Numerical optimization was conducted to determine the control parameters of the RID under simple excitation. …”
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