Design Optimization and Performance Evaluation of an Automated Pelleted Feed Trough for Sheep Feeding Management by Xinyu Gao, Chuanzhong Xuan, Jianxin Zhao, Yanhua Ma, Tao Zhang, Suhui Liu

“…The results indicated that the Matlab method could calibrate the Johnson–Kendall–Roberts (JKR) model’s surface energy. The optimal slope was found to be 63°, with optimal baffle heights of 28 mm for fine and medium pellets and 30 mm for coarse pellets. …”
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S-MFAC Control of Posture and Position Tracking for Working-class ROV by QIAO Yuekun, ZHU Yinggu, YAN Yun, LUO Lingbo, HU Binwei

“…In considering the frequent variation of model parameters, complicated operating environment, numerous uncertain factors and strong nonlinearity of motion in working-class ROV(remotely operation vehicle), this paper presented an S-MFAC (sigmoid-model free adaptive control) nonlinear cascade control algorithm. …”
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Optimizing Economy with Comfort in Climate Control System Scheduling for Indoor Ice Sports Venues’ Spectator Zones Considering Demand Response by Zhuoqun Du, Yisheng Liu, Yuyan Xue, Boyang Liu

“…To explore economic cost potential while ensuring user comfort, this study proposes a demand response-integrated optimization model for climate control systems. To enhance the model’s practicality and decision-making efficiency, a two-stage optimization method combining multi-objective optimization algorithms with the technique for order preference by similarity to an ideal solution (TOPSIS) is proposed. …”
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An Implementation Analysis of AHP-TOPSIS and Music-3D for Optimizing Spare Part Inventory Control (Case Study: PT. Bati) by Kelvin Leo, Siti Rahayu, Tri Ngudi Wiyatno

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Robust Constrained Model Predictive Control for T-S Fuzzy Uncertain System with Data Loss and Data Quantization by Hongchun Qu, Yu Li, Wei Liu

“…This paper addresses the robust constrained model predictive control (MPC) for Takagi-Sugeno (T-S) fuzzy uncertain quantized system with random data loss. …”
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Optimized network inference for immune diseased single cells by Elena Merino Tejero, Dwain Jude Vaz, Guillermo Barturen, Guillermo Barturen, Guillermo Barturen, María Rivas-Torrubia, Marta E. Alarcón-Riquelme, Marta E. Alarcón-Riquelme, Walter Kolch, Walter Kolch, David Matallanas

“…In this work, we present ONIDsc, a single-cell regulatory network inference model designed to elucidate immune-related disease mechanisms in SLE.MethodsONIDsc enhances SINGE’s Generalized Lasso Granger (GLG) causality model used in Single-cell Inference of Networks using Granger ensembles (SINGE) by finding the optimal lambda penalty with cyclical coordinate descent. …”
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Recurrent Neural Network-Based Model Predictive Control for Multiple Unmanned Quadrotor Formation Flight by Boyang Zhang, Xiuxia Sun, Shuguang Liu, Xiongfeng Deng

“…This paper presents a dynamical recurrent neural network- (RNN-) based model predictive control (MPC) structure for the formation flight of multiple unmanned quadrotors. …”
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Voltage Control for Distribution Networks Based on Large Language Model-Assisted Deep Reinforcement Learning by Limei Yan, Chongyang Cheng

“…This paper proposes a regional voltage optimization control strategy for distribution networks to address these issues based on DRL supported by large language model (LLM). …”
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Threat analysis model to control IoT network routing attacks through deep learning approach by K. Janani, S. Ramamoorthy

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Research on optimal control design of displaced left turn signal at one two way and three one way traffic intersections by Ning Han, Guozhu Cheng, Jiadong Lin, Zhiyun Tang, Fei Xie

“…The signal optimization control model was established considering both the main signal delay and the pre-signal delay. …”
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Mathematical models and computational approaches in CAR-T therapeutics by Guido Putignano, Guido Putignano, Samuel Ruipérez-Campillo, Samuel Ruipérez-Campillo, Zhou Yuan, José Millet, Sara Guerrero-Aspizua, Sara Guerrero-Aspizua

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Real-Time Optimal Control Strategy for Multienergy Complementary Microgrid System Based on Double-Layer Nondominated Sorting Genetic Algorithm by Min Mou, Yuhao Zhou, Wenguang Zheng, Zhongping Zhang, Da Lin, Dongdong Ke

“…In this paper, a typical model of energy input-output is established. This model combines with the operation control strategy suitable for multienergy complementary microgrid system, considers the operation mode and equipment characteristics of the system, and uses a double-layer nondominated sorting genetic algorithm to optimize the operation of each equipment in the multienergy complementary system in real time, so as to reduce the operation cost of the system.…”
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Research on primary frequency regulation and VSC-HVDC frequency synchronization control coordination method for large-scale hydropower DC export regional grid by Hongchun Shu, Huaibin Gao, Zongxue Shao, Yongzan Cui, Wei Zhao

“…Then, based on the characteristics of VSC-FSC and its coordination with primary frequency regulation in hydropower, a bi-level optimization model for control parameters is constructed. …”
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Deep learning based model predictive control of active filter inverter as interface for photovoltaic generation by Amin Rasoulian, Hadi Saghafi, Mohammadali Abbasian, Majid Delshad

“…Abstract By increasing the photovoltaic (PV) systems capacity worldwide, the requirement for a fast, reliable, and efficient control system is becoming more crucial. To this end, model predictive control (MPC) is known as one of the potential solutions. …”
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OPTIMIZING THE CONTROL OF TECHNICAL PERFORMANCE OF FOREHAND STROKE AMONG 12-YEAR OLD TENNIS PLAYERS USING MARTIN'S SIGMA METHOD by M. Chalakov

“…PURPOSE: The main purpose of this study is the optimization of the control over performing the forehand technique by 12-year old players using Martin's sigma method. …”
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Model-based hierarchal control framework for frequency and voltage stability in islanded microgrids with low inertia by Girmaw Teshager Bitew, Teketay Mulu Beza, Muhammad Shahzad

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Robust Model Predictive Control-Based Recurrent Neural Networks for Autonomous Vehicles in Avoidance Collisions by Hung Duy Nguyen, Duc Thinh Le, Tung Lam Nguyen, Minh Nhat Vu

“…Ensuring safe driving under real-time uncertainties remains a critical challenge in autonomous vehicle control. To address this issue for a collision avoidance task, this study proposes a robust model predictive control (RMPC) framework that handles parametric uncertainties using optimization-based linear matrix inequality (LMI). …”
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Hybrid A*-Guided Model Predictive Path Integral Control for Robust Navigation in Rough Terrains by Joonyeol Yang , Minhyeong Kang , Seulchan Lee, Sanghyun Kim

“…These computed paths are then used to define the mean control input for the MPPI algorithm, which performs localized optimization while adhering to the terrain-aware trajectory. …”
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Model Predictive Contouring Control With Barrier and Lyapunov Functions for Stable Path-Following in UAV Systems by Bryan S. Guevara, Jose Varela-Aldas, Viviana Moya, Manuel Cardona, Daniel C. Gandolfo, Juan M. Toibero

“…In this study, we propose a novel method that integrates Nonlinear Model Predictive Contour Control (NMPCC) with an Exponentially Stabilizing Control Lyapunov Function (ES-CLF) and Exponential Higher-Order Control Barrier Functions to achieve stable path-following and obstacle avoidance in UAV systems. …”
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Study and experimental validation of optimal parameters for algae control by a biphasic annular array of a high-frequency electric field by Shunyu Zou, Peicong Yan, Rucai Xia

“…The root mean square error of the neural network was controlled within 4.79 %, and the R-values were 0.989, 0.97029, 0.98826 and 0.98597, which indicated that the model fit was relatively accurate. …”
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