Disturbance Rejection and Uncertainty Analysis in Wind Turbines Using Model Predictive Control by Alok Kumar, Atul Kelkar

“…We have tailored the algorithm to the practical parameters of the National Renewable Energy Laboratory’s (NREL) Controls Advanced Research Turbine (CART) model. We illustrate the impact of wind disturbances on achieving the optimal control law and evaluate the performance of integral MPC in disturbance rejection for the wind turbine operation, comparing it with the constrained optimal control law outcomes. …”
Get full text

DIAGNOSTIC SYSTEM FOR OPTIMIZING THE DIESEL LOCOMOTIVE COOLING MODES by V.P. Perevertov, N.K. Yurkov, N.V. Chertykovtseva, V.N. Novikova, N.A. Kuzin

“…The paper presents a diagnostic system for optimizing the operating modes of the diesel locomotive cooling system, the components of which are: a diagnostic algorithm and hardware selection for import substitution, a structural and functional diagram (model). …”

Model Predictive Control Algorithm for Converter Based on a Convolutional Neural Network by Kun Shen, Mengyao Wu, Rongbin Chen

“…In the finite control set model predictive control (FCSMPC) algorithm for a converter based on a neural network, the optimal control variables computed by neural network controllers achieve decoupling between the optimal FCSMPC algorithm design and online computational burden. …”
Get full text

Development of Electrohydraulic Proportional Valve Model for Precise Steering Control in Autonomous Tractors by Yi-Seo Min, Yong-Joo Kim, Seung-Yun Baek, Seung-Min Baek, Wan-Soo Kim

“…The model was created using AMESim, incorporating actual tractor operating conditions and valve control signals. …”
Get full text

Optimizing resources for sustainable maize production under different intercrop association in eastern sub Himalayan region of India by Harkesh Meena, Partha Sarathi Patra, Pabitra Adhikary, Arju Sahid Ahmed, Shyamal Kheroar, Shovik Deb, Feroze Hasan Rahman, Amrit Tamang, Bimal Das, Pijush Somondal

“…These findings provide critical insights into sustainable crop management and can serve as a model for other regions with similar agro-ecological conditions. …”
Get full text

MODEL OF A CASCADE OF DIVERSION HYDROELECTRIC POWER PLANTS WITH FUZZY LOGIC CONTROLLER by L. Tolstikhina, D. Glashev

Get full text

Leveraging large language models for comprehensive locomotion control in humanoid robots design by Shilong Sun, Chiyao Li, Zida Zhao, Haodong Huang, Wenfu Xu

“…This paper investigates the utilization of large language models (LLMs) for the comprehensive control of humanoid robot locomotion. …”
Get full text

Virtual Synchronous Generator Based on Hybrid Multi-Vector Model Predictive Control by Yinyu Yan, Zhiyuan Fan, Yichao Sun, Wei Wang, Dongmei Yang, Zheng Wei

“…This paper proposes a hybrid multi-vector model predictive control (MPC) to reduce the harmonic content in the output current of a two-level virtual synchronous generator (VSG). …”
Get full text

Data-Driven Machine Learning-Informed Framework for Model Predictive Control in Vehicles by Edgar Amalyan, Shahram Latifi

“…The methodology extends to other components, such as braking systems, offering a scalable path toward fully self-optimizing vehicle control in both conventional and autonomous platforms.…”
Get full text

Research on an internal model control algorithm and parameter tuning for metro traction PMSMs by SI Junmin, YUE Xuelei, TIAN Di, XU Kelei

“…To address these issues, this paper presents the design of an internal model decoupling controller capable of compensating for digital control delays, based on the principle of internal model control (IMC). …”
Get full text

Modeling and Analysis of Integrated Pest Control Strategies via Impulsive Differential Equations by Joseph Páez Chávez, Dirk Jungmann, Stefan Siegmund

“…The analysis addresses practical questions, such as how to determine the parameter values of the system yielding an optimal pest control, in terms of operation costs and environmental damage. …”
Get full text

Multi-objective Predictive Control of Gas Turbine System Based on T-S Fuzzy Model by Guolian HOU, Xiaoyan DAI, Linjuan GONG, Haixin XU, Jianhua ZHANG

“…In this paper, a T-S fuzzy model-based multi-objective predictive controller is proposed to enhance both the tracking performance and economic performance together. …”
Get full text

A Multi-stage Model Predictive Control Method for Modular Multilevel Converter by ZHANG Jingming, QIU Cheng, WANG Jun, WU Ping, LIU Chun

“… Modular multilevel converter (MMC) has received extensive attention in the field of power transmission because of its advantages of strong scalability and high output power quality. A multi-stage model predictive control (MSMPC) method is proposed to solve the problems of complex weight factor design of traditional model predictive control and large harmonic component of bridge arm circulation. …”
Get full text

Robust Model Predictive Sliding Mode Control of Linear Parameter Varying Systems by Mohammadsadegh Baneshi, Mohsen Farbood, Anthony Ja Rossiter, Saleh Mobayen, Pawel Paweskruch, Ruggero Carli

“…The stability and performance of nonlinear systems under uncertainty are guaranteed by this paper’s robust model predictive control (MPC) approach, which combines sliding mode control (SMC) with a polytopic linear parameter varying (PLPV) framework. …”
Get full text

Application of DE-RF and Fuzzy Model in Camber Control of Hot Rolled Strip by WEI Zhipeng, CUI Guimei, PI Lixiang, LI Tianhao

“… In order to solve the problem of slab bending affecting strip quality in 2250mm hot strip rolling process, a method based on data fusion and expert experience is proposed to apply to slab bending control system.Firstly, the differential evolution algorithm is established to optimize the stochastic forest regression model to solve the problem of insufficient accuracy of slab detection lag prediction.The model can effectively predict the bending value of the slab at the exit of the third pass roughing mill, and the estimated error is 96.3% of the slab within the allowable range.Then a fuzzy model is established according to the expert experience and data to solve the manual operation uncertainty problem.The model gets the roll slit tilt value twice respectively, and the experimental results show that the calculated value of the fuzzy model has a small error compared to the actual value and it can provide the roll gap tilt value reliably.Finally, the two roll gap tilt values are added together as the second roll gap tilt value. …”
Get full text

Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side by Ali Sharida, Abdullah Berkay Bayindir, Sertac Bayhan, Haitham Abu-Rub

“…Inverse model predictive control (IMPC) is a control technique that was recently proposed for power electronic converters. …”
Get full text

Model predictive control for water management and energy security in arid/semiarid regions by D.M. Bajany, L. Zhang, X. Xia

“…It is mathematically developed as a multi-constraint non-linear programming model based on model predictive control principles. …”
Get full text

Modeling vector control of the asynchronous drive of electric rolling stock auxiliary machines by Yu. M. Kulinich, S. A. Shukharev, V. K. Dukhovnikov, A. V. Gulyaev

“…The software focuses on solving various applied problems, particularly, on modeling a vector control system for an asynchronous drive.Results. …”
Get full text

Well control diagnosis model of underground gas storage in multi-cycle operation by ZHANG Siyuan, YANG Jiakun, SONG Lina, ZHOU Dongliang, HU Jun, XU Feng, SHI Yuxia, XU Hongcheng, PEI Gen, FAN Jiayi

“…The Blasingame pattern analysis method is then applied to fit the well control parameters and establish a basic model, such as the well control radius. …”
Get full text

Infection Control-Based Construction of a Fever Outpatient Routine Management Model by Jingsong Wang, Zhen Tao, Kai Zhang, Shuai Wang

“…In order to improve the efficiency of fever clinic screening, timely detection and control of infection sources, early detection, early isolation, and early treatment, our hospital explored the construction and effect of our fever clinic management model during the response period by constructing a fever clinic regular management model based on the principles of infection control. …”
Get full text