LMI-Based Model Predictive Control for Underactuated Surface Vessels with Input Constraints by Lutao Liu, Zhilin Liu, Jun Zhang

“…A nonlinear model predictive control (MPC) is proposed for underactuated surface vessel (USV) with constrained inputs. …”
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Missile IGC Based on Improved Model Predictive Control and Sliding Mode Observer by Li Ma, Jiayuan Shan, Junhui Liu, Yan Ding

“…Considering recurrent optimization process in model predictive control (MPC), the model uncertainties and disturbances terms in the missile’s guidance and control model can degrade recursive feasibility, and there are control mutation problems in common MPC algorithm. …”
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A Differential Evolution Algorithm-Based Traffic Control Model for Signalized Intersections by Ziya Cakici, Yetis Sazi Murat

“…., can be achieved by optimization-based intersection management. In this study, a new traffic signal control model is developed for the management of three-leg signalized intersections. …”
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Parametrization of the attainable set for a nonlinear control model of a biochemical process by Ellina Grigorieva, Evgenii Khailov, Andrei Korobeinikov

“…In this paper, we study a three-dimensional nonlinear model of a controllable reaction$ [X] + [Y] + [Z] \rightarrow [Z] $, where the reaction rate is given by a unspecifiednonlinear function. …”
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Building Energy Optimization Using an Improved Exponential Distribution Optimizer Based on Golden Sine Strategy Minimizing Energy Consumption Under Uncertainty by Mohammad Ali Karbasforoushha, Mohammad Khajehzadeh, Suraparb Keawsawasvong, Lapyote Prasittisopin, Thira Jearsiripongkul

“…In this study, a new improved meta-heuristic algorithm is proposed for solving the energy building optimization (EBO) and also hybrid energy systems optimization considering uncertainty of conditioned surface area subjected to temperature control for BEO and renewable power and load uncertainties for hybrid system. …”
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Neuro-modelling and fuzzy logic control of a two-wheeled wheelchair system by NIzaruddin M Nasir, Nor Maniha Abdul Ghani, Ahmad Nor Kasruddin Nasir, Mohd Ashraf Ahmad, Mohammad Osman Tokhi

“…This research addresses these challenges by developing a dynamic non-linear model and stability control using computational algorithms. …”
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Machine learning in modeling, analysis and control of electrochemical reactors: A tutorial review by Wenlong Wang, Zhe Wu, Dominic Peters, Berkay Citmaci, Carlos G. Morales-Guio, Panagiotis D. Christofides

“…The complexity of these systems – arising from coupled electrochemical reactions with mass, heat and charge transport phenomena – poses significant challenges in modeling, analysis, and control. Machine learning (ML) has emerged as a promising tool for addressing these challenges by providing data-driven solutions to complex process modeling, optimization, and advanced control. …”
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Morphing and control of airfoils for optimum lift-to-drag ratio using shape-memory alloy with particle swarm optimization of PARSEC parameters by Raed Bourisli, Nesrin Ibrahim, Mohammed Alajmi

“…A PID-controlled SMA model implements the resulting shapes through voltage-controlled deformation, simulated in Simscape. …”
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Data Reconstruction Using Smart Sensor Placement by Farnaz Boudaghi, Danial Waleed, Luis A. Duffaut Espinosa

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Key Technologies for Intelligent Control of Heavy-Haul Trains Focusing on Safe and Efficient Operation by WANG Qingyuan, WEI Mi, HU Yunqing, WANG Jianhua, JIANG Fan, ZHANG Zhengfang, WANG Kaiyun

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Biomechanical optimization and reinforcement learning provide insight into transition from ankle to hip strategy in human postural control by Seongwoong Hong, Sukyung Park

“…The RL-based optimization model successfully reproduced the ankle-to-hip strategy transition observed in human postural responses. …”
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Optimal transport on gas networks by Ariane Fazeny, Martin Burger, Jan-F. Pietschmann

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Synchronization Optimization Model Based on Enhanced Connectivity of New Energy Vehicle Supply Chain Network by Haiwei Gao, Xiaomin Zhu, Binghui Guo, Yifan Cao, Haotian Wang, Xiaohan Yu, Xiaobo Yang

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Erratum to “Optimum design of bearingless brushless DC motor modeling with dual loop controller using dragonfly optimizers” [e-Prime - Advances in Electrical Engineering, Electronics and Energy, Volume 11, March (2025), 100942] by Qusay S. Kadhim, Mahmood Swadi, Ali Jafer Mahdi, Mohanad Azeez Joodi, Firas Mohammed Tuaimah, Moanes E. Mohammed, Abbas Hafeth Abbas, Mohamed Salem

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Assessment of an intervention to optimise antenatal management of women admitted with preterm labour and intact membranes using amniocentesis-based predictive risk models: study protocol for a randomised controlled trial (OPTIM-PTL Study) by Maria Goya, Carmen Garrido, Anna Peguero, Francesc Figueras, Eduard Gratacos, Cristina Paules, Eva Meler, Teresa Cobo, Victoria Aldecoa, Jose Luis Bartha, Fernando Bugatto, María Paz Carrillo-Badillo, Carmina Comas, Vicente Diago-Almeda, Silvia Ferrero, Ignacio Herraiz, Laia Martí-Malgosa, Anna Olivella, Àngels Vives, Montse Palacio, David Boada, Sara Ruiz-Martínez, Alberto Galindo, Laura Forcén, Patricia M Brañas, Itziar Garcia, Mirea Vargas, Alicia Martínez-Varea, Laia PratCorona, Marcos Cuerva, Tamara Illescas, Miguel Angel López-Guerrero, MºCarmen Facio, Carmen Medina, Cecilia Vilalain González

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An electricity price optimization model considering time-of-use and active distribution network efficiency improvements by Yan Li, Yaheng Su, Qixin Zhao, Bala Wuda, Kaibo Qu, Lei Tang

“…The model exhibited high resilience and fine-grained control capabilities in the complex electricity market; (3) finally, based on the optimized electricity price strategy derived from training, the model reduced electricity costs and price volatility. …”
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MODEL OF THE CONTROL SYSTEM ROCKING MACHINES OF OIL THE BASIC OF A SYNCHRONOUS ENGINES WITH THE SENSORLESS METHOD by T. I. Petrov, A. R. Safin, I. V. Ivshin, A. N. Tsvetkov, V. Yu. Kornilov

“…Mathematical models of all elements of the control station are presented: rocking machine, synchronous motor, vector control system.…”
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Review of Control Techniques for Dual Three-phase PMSM Drives with Low Carrier Ratios by Minrui Gu, Zheng Wang, Ming Cheng, Weifeng Su, Linyue Shang, Po Liu

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A Stackelberg Game Approach to Model Reference Adaptive Control for Spacecraft Pursuit–Evasion by Gena Gan, Ming Chu, Huayu Zhang, Shaoqi Lin

“…First, the spacecraft PE dynamics under <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>J</mi><mn>2</mn></msub></semantics></math></inline-formula> perturbation are mapped to a dynamic Stackelberg game model. Next, the Riccati equation solves the equilibrium problem, deriving the evader’s optimal control strategy. …”
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MODEL PREDICTIVE CONTROL FOR PHOTOVOLTAIC STATION MAXIMUM POWER POINT TRACKING SYSTEM by I. Elzein, Yu. N. Petrenko

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