When and why does motor preparation arise in recurrent neural network models of motor control? by Marine Schimel, Ta-Chu Kao, Guillaume Hennequin

“…We find that delay-period inputs consistently arise in an optimally controlled model of M1. By studying a variety of network architectures, we could dissect and predict the situations in which it is beneficial for a network to prepare. …”
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Enhancing greenhouse management with interpretable AI: A natural language interface for advanced and optimization-based control by Ramesh Arvind Naagarajan, Stefan Streif

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DEVELOPMENT OF COMBINED MODEL FOR OPTIMIZATION by D. Abdalhamid, M. G. Loria, P. I. Eliseev, A. B. Tselischev

“…The paper proposes an approach to development of a mathematical model for subsequent optimization and control over a complicated technological object. …”
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Simulation study of mixed pressure and flow control systems for optimal operation of centrifugal pumping plants by Gevorkov Levon, Rassõlkin Anton, Kallaste Ants, Vaimann Toomas

“…The model provides the possibility of power calculation during both throttling and speed control and to estimate the optimal working point according to these calculations. …”
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Nonlinear Model Predictive Control of Heaving Wave Energy Converter with Nonlinear Froude–Krylov Forces by Tania Demonte Gonzalez, Enrico Anderlini, Houssein Yassin, Gordon Parker

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Emerging Trends in Machine Learning Assisted Optimization Techniques Across Intelligent Transportation Systems by Blessing Itoro Afolayan, Arka Ghosh, Jenny Fajardo Calderin, Antonio D. Masegosa

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Real-Time Optimization Improved Model Predictive Control Trajectory Tracking for a Surface and Underwater Joint Observation System Based on Genetic Algorithm–Fuzzy Control by Qichao Wu, Yunli Nie, Shengli Wang, Shihao Zhang, Tianze Wang, Yizhe Huang

“…Aiming at the high-precision trajectory tracking problem of the new surface and underwater joint observation system (SUJOS) in the ocean remote sensing monitoring mission under complex sea conditions, especially at the problem of excessive tracking errors and slow convergence of actual trajectory oscillations caused by the wide range of angular changes in the motion trajectory, a real-time optimization improved model predictive control (IMPC) trajectory tracking method based on fuzzy control is proposed. …”
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Knowledge graph-based intelligent control systems for real-time machine tool optimization by Hailong YANG, Jun YAO, Baorui DU

Subjects: “…computer numerical control (cnc)…”
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Constructive Simulation in Tactical Level Planning: Options for Optimizing Engineer Support by Ota Rolenec, Martin Sedláček, Martin Vlkovský

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An Optimal Longitudinal Control Strategy of Platoons Using Improved Particle Swarm Optimization by Zhizhou Wu, Zhibo Gao, Wei Hao, Jiaqi Ma

“…This paper presents an optimal longitudinal control strategy for a homogeneous CAV platoon. …”
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Fast Task Scheduling With Model Predictive Control Integrating a Priority-Based Heuristic by Francesco Liberati, Manuel Donsante, Chiara Maria Francesca Cirino, Andrea Tortorelli

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Using Surrogate Models in the Construction of a Pareto-Optimal Positioning Electropneumatic Actuator with Discrete Pneumatic Valves by M. O. Sheykin, S. N. Cherkasskikh, D. V. Shilin, V. V. Fedenkov

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Three-level global resource allocation model for HIV control: A hierarchical decision system approach by Semu Mitiku Kassa

“…In this paper, a hierarchical mathematical optimization model is proposed to solve such a problem. …”
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Optimal Coverage Path Planning for Unmanned Surface Vehicles Using Flexible Formation Tracking Control by Minsung Park, Bo Woo Nam

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Optimal design of neural network-based fuzzy predictive control model for recommending educational resources in the context of information technology by Liu Tingting, Liu Qiyuan, Wang Xiaobei, Yang Yang

“…The average F1 values of the proposed model also reached 95.21 and 88.77%, which are higher than the control model. …”
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H∞ Control-Based Robust CAS Design for QTW-UAV via the Multiple-Model Approach with Particle Swarm Optimization by Chiramathe Nami, Koichi Oka, Masayuki Sato, Akinori Harada, Koji Muraoka

“…This paper thus presents an H∞ control-based robust CAS design for QTW-UAV via multiple-model approach with Particle Swarm Optimization (PSO) to suppress the oscillatory motions. …”
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Optimizing PID control for multi-model adaptive high-speed rail platform door systems with an improved metaheuristic approach by Dong Zhan, Ai-Qing Tian, Shao-Quan Ni

“…This study delves into the optimization of PID control parameters for Multi-model Adaptive High-speed Rail Platform Door Control Systems (MMAHSR-PDCS) using the Individual-Based Model Dynamic Multi-Swarm Snow Goose Algorithm (IBM-Dy-SGA). …”
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A Novel Energy Control Digital Twin System with a Resource-Aware Optimal Forecasting Model Selection Scheme by Jin-Woo Kwon, Anwar Rubab, Won-Tae Kim

“…As global energy demand intensifies across industrial, commercial, and residential domains, efficient and accurate energy management and control become crucial. Energy Digital Twins (EDTs), leveraging sensor measurement data and precise time-series forecasting models, offer promising monitoring, prediction, and optimization solutions for such services. …”
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Inertia Optimization Control Model of AC/DC Sending-End System Based on Multi-source Energy Storage Coordination by Song XIANG, Peng SU, Jian WU, Xin LIU, Jitao MA

“…On this basis, considering the frequency stability of sending-end systems, an inertia optimization control model is built for AC/DC sending-end systems based on multi-source energy storage coordination. …”
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Improved multiverse optimizer‐based anti‐saturation model free adaptive control and its application to manipulator grasping systems by Shida Liu, Zhen Li, Jiancheng Li, Honghai Ji, Jingquan He

“…Abstract To address the stable grasping control issue in manipulator grasping systems, this manuscript proposes an improved multiverse optimizer‐based anti‐saturation model‐free adaptive control (IMVO‐AS‐MFAC) algorithm. …”
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