A Novel Fuzzy Model Predictive Control of a Gas Turbine in the Combined Cycle Unit by Guolian Hou, Linjuan Gong, Xiaoyan Dai, Mengyi Wang, Congzhi Huang

“…Therefore, aiming at higher control performance of the gas turbine in the gas-steam combined cycle process, a novel fuzzy model predictive control (FMPC) strategy based on the fuzzy selection mechanism and simultaneous heat transfer search (SHTS) algorithm is presented in this paper. …”
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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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Assessment of binary prediction of fraudulent advertisements in ATS candidate tracking cloud systems by V. V. Ligi-Goryaev, G. A. Mankaeva, T. B. Goldvarg, S. S. Muchkaeva, V. V. Dzhakhnaev

“…The abstract describes the construction of a binary classification model for predicting the type of job advertisement in cloud-based ATS (Applicant Tracking Systems) as either legitimate or fraudulent. …”
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Research on Path Tracking of Intelligent Hybrid Articulated Tractor Based on Corrected Model Predictive Control by Liyou Xu, Jiaxing Hou, Xianghai Yan, Mengnan Liu, Junjiang Zhang, Yuan Tao

“…Taking the lateral and longitudinal errors as the target and the speed and articulation angular acceleration as the constraints, a tracking control algorithm based on model predictive control is proposed. …”
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Information-Driven Model Predictive Control With Adaptive Partitioning for Energy Optimization in Automated Electric Vehicles by Shahriar Shahram, Yaser P. Fallah

“…This paper presents a methodology to optimize energy consumption in electric vehicles (EVs) using a Model Predictive Control (MPC) framework integrated with detailed power loss models. …”
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Reservoir Neural Network Computing for Time Series Forecasting in Aerospace: Potential Applications to Predictive Maintenance by Juan Manuel Rodríguez Riesgo, Juan Luis Cabrera Fernández

“…In such a framework, the application to the problem of predictive maintenance is considered. The necessary requirements for the system to generate satisfactory predictions are established, with specific suggestions as to how a forecast can be improved through reservoir computing. …”
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Model Predictive Excitation Controller for Synchronous Condenser Coordinated With Wind Farms in Sending-End System by Lingfeng Zheng, Yongzhi Zhou, Hongda Cai, Xiaoming Liu, Donglei Sun

“…The proposed controller predicts the future behavior of the system and determines the optimal control input using model predictive control (MPC) algorithm with extended and linearized state space model of sending-end system. …”
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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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Predictive ANN Modeling and Optimization of Injection Molding Parameters to Minimize Warpage in Polypropylene Rectangular Parts by Juan Luis Gámez, Amparo Jordá-Vilaplana, Miguel Angel Peydro, Miguel Angel Selles, Samuel Sanchez-Caballero

“…Based on the Backpropagation Neural Network algorithm, the optimized ANN model accurately predicts warpage by considering factors such as part thickness, flow path distance, and flow path tangent. …”
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Research on Predictive Analysis Method of Building Energy Consumption Based on TCN-BiGru-Attention by Sijia Fu, Rui Zhu, Feiyang Yu

“…In order to tune the hyperparameters in the structure of this prediction model, such as the learning rate, the size of the convolutional kernel, and the number of recurrent units, this study chooses to use the Golden Jackal Optimization Algorithm for optimization. …”
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Modulated Model Predictive Speed Controller for PMSM Drives Employing Voltage-Based Cost Function by Ahmed Aboelhassan, Shuo Wang, Giampaolo Buticchi, Vasyl Varvolik, Michael Galea, Serhiy Bozhko

“…The required simulation work has been developed to analyze the algorithm performance compared to proportional integral (PI), noncascaded model predictive control, and M²PC controllers. …”
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Balancing prior knowledge and sensory data in a predictive coding model of coherent motion detection. by Elnaz Nemati, David B Grayden, Anthony N Burkitt, Parvin Zarei Eskikand

“…This study introduces a neurobiologically inspired computational model based on the predictive coding algorithm, providing insights into coherent motion detection processes. …”
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Anti-disturbance predictive control for path tracking of unmanned agricultural vehicles based on safety distance by HUANG Zhenzhen, SUN Jinlin, DING Shihong

“…To enhance the path tracking performance of unmanned agricultural vehicles in complex working scenarios with multiple obstacles, this paper proposes an anti-disturbance predictive control scheme based on safe distance. This control scheme leverages the autonomous learning capabilities of predictive control to achieve efficient obstacle avoidance maneuvers for unmanned agricultural vehicles in complex operational scenarios through interaction with the working environment. …”
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Anti-disturbance predictive control for path tracking of unmanned agricultural vehicles based on safety distance by HUANG Zhenzhen, SUN Jinlin, DING Shihong

“…To enhance the path tracking performance of unmanned agricultural vehicles in complex working scenarios with multiple obstacles, this paper proposes an anti-disturbance predictive control scheme based on safe distance. This control scheme leverages the autonomous learning capabilities of predictive control to achieve efficient obstacle avoidance maneuvers for unmanned agricultural vehicles in complex operational scenarios through interaction with the working environment. …”
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A multi-gene predictive model for the radiation sensitivity of nasopharyngeal carcinoma based on machine learning by Kailai Li, Junyi Liang, Nan Li, Jianbo Fang, Xinyi Zhou, Jian Zhang, Anqi Lin, Peng Luo, Hui Meng

“…This study developed the nasopharyngeal carcinoma radiotherapy sensitivity score (NPC-RSS) to predict radiotherapy response. By evaluating 113 machine learning algorithm combinations, the glmBoost+NaiveBayes model was selected to construct the NPC-RSS based on 18 key genes, which demonstrated good predictive performance in both public and in-house datasets. …”
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Fidan: a predictive service demand model for assisting nursing home health-care robots by Feng Zhou, Xin Du, WenLi Li, Zhihui Lu, Shih-Chia Huang

“…In order to provide practical help to nursing staff in nursing homes, we innovatively combine the LightGBM algorithm with the machine learning interpretation framework SHAP (Shapley Additive exPlanations) and use comprehensive data analysis methods to propose a service demand prediction model Fidan (Forecast service demand model). …”
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Enhanced bearing health indicator extraction using slope adaptive signal decomposition for predictive maintenance by Dev Bhanushali, Pooja Kamat, Harsh Dhiman

“…Applied to the PRONOSTIA platform's bearing datasets, SASD produces refined health indicators suitable for predictive maintenance tasks, including Remaining Useful Life (RUL) estimation. …”
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Power management in isolated microgrids using machine learning-based robust model predictive control by Chou-Yi Hsu, Amit Ved, Hannah Jessie Rani R, Zayd Ajsan Balsem, Nora Rashid Najem, Abhayveer Singh, P․Sasi Kiran, Ankita Aggarwal, Satish Kumar Samal, Alireza Kamranfar

“…This paper presents a new control strategy based on a type-2 neural fuzzy robust model predictive control (MPC) for an isolated microgrid system that include various types of renewable energy sources (RES) such as photovoltaics (PVs), wind turbines (WTs), fuel cells (FCs) and battery energy storage systems (BESSs). …”
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S100A7 as a predictive biomarker in malignant transformation of oral epithelial dysplastic lesions by Jeffrey Soparlo, Lachlan McLean, Christina McCord, Linda Jackson-Boeters, Michael Shimizu, Michael Robinson, Wanninayake M. Tilakaratne, Mark R. Darling

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Predictive Archaeological Modeling with MaxEnt (Late Roman Settlements in The Upper Don Basin Case) by D. V. Sarychev, G. L. Zemtsov

“…The paper is devoted to an archaeological predictive modeling technique with GIS and machine learning based on maximal entropy algorithm (MaxEnt). …”
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