An Adaptive Path Tracking Controller with Dynamic Look-Ahead Distance Optimization for Crawler Orchard Sprayers by Xu Wang, Bo Zhang, Xintong Du, Xinkang Hu, Chundu Wu, Jianrong Cai

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Optimal control of production and maintenance: A cost-efficient approach through inventory and preventive strategies by Messaoud Bounkhel, Lotfi Tadj

“…Using an optimal control framework, the optimization of production and maintenance processes is investigated in this paper. …”
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A Simple Control Strategy for Planar 2R Underactuated Robot via DEA Optimization by Zixin Huang, Xiangyu Gong, Xiao Wan, Hongjian Zhou

“…Initially, a comprehensive dynamic model is developed for the robot with its control properties described. …”
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INTEGRATED FORECASTING AND AGGREGATE PLANNING FOR PRODUCTION OPTIMIZATION: A COMPARATIVE ANALYSIS OF OVERTIME AND SUBCONTRACTING CONTROLS by Sukma Anindita, Rahmadi Yotenka

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Real-Time Drilling Performance Optimization Using Automated Penetration Rate Algorithms with Vibration Control by Dan Sui

“…This paper presents a model-based optimization strategy tailored for automated drilling operations, focusing on maximizing performance while maintaining operational safety. …”
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An Optimal Control Method for Maximizing the Efficiency of Direct Drive Ocean Wave Energy Extraction System by Zhongxian Chen, Haitao Yu, Cheng Wen

“…An optimal control method based on internal model proportion integration differentiation (IM-PID) is proposed in this paper though most of ocean wave energy extraction systems are optimized by the structure, weight, and material. …”
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Control and Stability Analysis of Double Time-Delay Active Suspension Based on Particle Swarm Optimization by Kaiwei Wu, Chuanbo Ren

“…The optimal objective function is established according to the amplitude-frequency characteristics of the system, and the optimal time-delay control parameters are obtained by using the particle swarm optimization algorithm. …”
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Composite Learning-Based Inverse Optimal Fault-Tolerant Control for Hierarchy-Structured Unmanned Helicopters by Qingyi Liu, Ke Zhang, Bin Jiang, Yushun Tan

“…This article investigates the inverse optimal fault-tolerant formation-containment control problem for a group of unmanned helicopters, where the leaders form a desired formation pattern under the guidance of a virtual leader while the followers move toward the convex hull established by leaders. …”
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Optimizing ground control points for UAV photogrammetry: a case study in slope stability mapping by Muhammad Hafizhir Ridha, Yulian Firmana Arifin, Ari Surya Abdi

“…These results demonstrated that optimizing GCP layout could significantly improve model precision while reducing fieldwork. …”
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Optimal Over-Frequency Droop Control for DFIG-Based Wind Farms Under Unreliable Communication by Yaxin Wang, Donglian Qi, Jianliang Zhang, Yulin Chen

“…Due to unreliable communication in a wind farm, a game theory-based distributed rotor kinetic energy optimization model is developed to obtain the ideal WT rotor speed and power reduction. …”
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Performance Analysis of a Semiactive Suspension System with Particle Swarm Optimization and Fuzzy Logic Control by Abroon Jamal Qazi, Clarence W. de Silva, Afzal Khan, Muhammad Tahir Khan

“…This paper uses a quarter model of an automobile having passive and semiactive suspension systems to develop a scheme for an optimal suspension controller. …”
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Adaptive Reconfigurable Learning Algorithm for Robust Optimal Longitudinal Motion Control of Unmanned Aerial Vehicles by Omer Saleem, Aliha Tanveer, Jamshed Iqbal

“…The proposed algorithm is formulated to track the optimal trajectory yielded by the baseline Linear Quadratic Integral (LQI) controller. …”
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Robust Sliding Mode Control Based on GA Optimization and CMAC Compensation for Lower Limb Exoskeleton by Yi Long, Zhi-jiang Du, Wei-dong Wang, Wei Dong

“…In this paper, a hybrid position control scheme, combining sliding mode control (SMC) with a cerebellar model articulation controller (CMAC) neural network, is proposed to control the exoskeleton to react appropriately to human motion intent. …”
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Optimal Control Strategy for Energy Storage Power Station in Primary Frequency Regulation of Power Grid by Jiacheng ZHANG, Xiangyang XIA, Zihao DENG, Guiquan CHEN

“…In order to achieve accurate and fast primary frequency regulation of power grid without compromising the safety of the participating energy storage system, this paper proposes an energy storage assisted frequency modulation adaptive optimization control strategy considering both the State of Charge (SOC) and State of Health (SOH) in response to the demand of real power generation due to the system frequency deviation. …”
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Wave Prediction Error Compensation and PTO Optimization Control Method for Improving the WEC Power Quality by Tianlong Lan, Jiarui Wang, Luliang He, Peng Qian, Dahai Zhang, Bo Feng

“…In order to solve the above-mentioned problems, this paper presents a model predictive control (MPC) method composed of a prediction error compensation controller and a PTO optimization controller. …”
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Coordinated Control Optimization of Nuclear Steam Supply Systems via Multi-Agent Reinforcement Learning by Tianhao Zhang, Zhonghua Cheng, Zhe Dong, Xiaojin Huang

“…While deep reinforcement learning (DRL) has shown potential in optimizing NSSS control, existing single-agent approaches apply the same optimization strategies to all subsystems. …”
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Predictive Optimal Control Mechanism of Indoor Temperature Using Modbus TCP and Deep Reinforcement Learning by Hongkyun Kim, Muhammad Adnan Ejaz, Kyutae Lee, Hyun-Mook Cho, Do Hyeun Kim

“…The system utilizes an LSTM model for forecasting temperature trends as well as an optimized control action using an envisaged DQN with predicted states, sensors, as well as user preferences. …”
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Voltage Optimal Control Strategy for Distribution Networks with Multiple Integrated Photovoltaic and Energy Storage Machines by Jinglin HAN, Ping HU, Ruosong HOU, Zhiyong CHEN, Hongtao LI, Yuanyuan CHAI

“…Therefore, a voltage optimal control strategy that combines the centralized optimization and distributed real-time control is presented for DNs with multiple integrated PV and energy storage (ES) machines. …”
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Optimization Study of Trajectory Tracking Algorithm for Articulated Vehicles Based on Adaptive Sliding Mode Control by Rui Li, Lin Li, Tiezhu Zhang, Zehao Sun, Kehui Ma

“…Then, a posture state model for articulated trucks is established. The objective is to optimize the control method and further improve trajectory tracking accuracy. …”
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Incorporating Risk in Operational Water Resources Management: Probabilistic Forecasting, Scenario Generation, and Optimal Control by Ties van derHeijden, Miguel Angel Mendoza‐Lugo, Peter Palensky, Nick van deGiesen, Edo Abraham

“…Recognizing the limitations of deterministic methods in the face of weather, energy system, and market uncertainties, we propose a scalable stochastic Model Predictive Control (MPC) framework that integrates probabilistic forecasting, scenario generation, and stochastic optimal control. …”
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