A Realistic Model Reference Computed Torque Control Strategy for Human Lower Limb Exoskeletons by Sk K. Hasan

“…To overcome these limitations, this study introduces a novel realistic model reference computed torque controller that accounts for parametric uncertainties while optimizing computational efficiency. …”
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New Results on Robust Model Predictive Control for Time-Delay Systems with Input Constraints by Qing Lu, Yiyong Sun, Qi Zhou, Zhiguang Feng

“…For the state-feedback MPC design objective, we formulate an optimization problem. Under model transformation, a new model predictive controller is designed such that the robust asymptotical stability of the closed-loop system can be guaranteed. …”
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Decoupling control strategy of three-port DC–DC converter based on model prediction by Junrui Wang, Xuanjing Qiao, Linhui Li, Rui Wang, Hao Qin

“…This article proposes a Model Prediction Control (MPC) strategy to address this issue. …”
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Study on Energy-saving Control of Large Central Air-conditioning System Based on BAS-PSO by Chen Yang, Yao Ye

“…In this study, an optimal control model for the air supply and chilled water system of a central air-conditioning system was established. …”
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Circulating Current Suppression in Modular Multilevel Converters Based on Hybrid Model Predictive Control by Xin Gu, Wenxuan Zhao, Guozheng Zhang, Xuqing Yao, Xuefeng Jin, Wei Chen, Chen Li

“…This paper primarily addresses the circulating current issue in traditional half-bridge MMCs by introducing a control strategy combining model predictive control and proportional resonance controllers. …”
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Nonlinear Model Predictive Control for Trajectory Tracking of Omnidirectional Robot Using Resilient Propagation by Mahmoud El-Sayyah, Mohamad R. Saad, Maarouf Saad

“…This paper proposes an enhanced Nonlinear Model Predictive Control (NMPC) framework that incorporates a robust, convergent variant of the resilient propagation (RPROP) algorithm to efficiently solve the Nonlinear Optimization Problem (NOP) in real time. …”
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A Talent Cultivation and Performance Evaluation Model Based on a Fuzzy Control Algorithm by Shanshan Jiang

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Model Predictive Control With Reinforcement Learning-Based Speed Profile Generation in Racing Simulator by Min-Seong Kim, Tae-Hyoung Park

“…Model Predictive Control (MPC) is a widely used optimal control strategy, particularly effective in managing complex constraints. …”
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A Multi-Constraint Co-Optimization LQG Frequency Steering Method for LEO Satellite Oscillators by Dongdong Wang, Wenhe Liao, Bin Liu, Qianghua Yu

“…To simultaneously balance multi-dimensional requirements such as clock bias accuracy, and frequency stability and phase continuity, this study proposes a linear quadratic Gaussian (LQG) frequency precision steering method that integrates a four-dimensional constraint integrated (FDCI) model and hierarchical weight optimization. An improved system error model is refined to quantify the covariance components (Σ₁₁, Σ₂₂) of the LQG closed-loop control system. …”
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Neural ODE-Based Dynamic Modeling and Predictive Control for Power Regulation in Distribution Networks by Libin Wen, Jinji Xi, Hong Hu, Li Xiong, Guangling Lu, Tannan Xiao

“…The increasing penetration of distributed energy resources (DERs) and power electronic loads challenges the modeling and control of modern distribution networks (DNs). …”
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Inventory Allocation: Omnichannel Demand Fulfillment with Admission Control by Fangfang Ma, Shaochuan Fu, Yuanyuan Zhang, Benxuan Miao

“…We develop an omnichannel newsvendor model, deriving an optimal strategy for retailer inventory level and online acceptance thresholds, demonstrating the economic superiority of this approach over traditional policy. …”
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A model predictive control method for directional borehole trajectories in underground coal mines by Hao LI, Ningping YAO, Chengda LU, Jinbao ZHANG, Hongchao WEI, Jiajun WU, Jinyu LI

“…The steady-state errors of the prediction model were reduced using feedback correction. Furthermore, this study designed a model predictive controller with functions of predictive modeling, rolling optimization, and feedback correction. …”
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MATHEMATICAL MODEL OF COMPLEX PROTECTION OF AN INFOCOMMUNICATION OBJECT BASED ON "PLAYING WITH NATURE" by I. S. Klimenko

“…The article also touches upon the application of expert assessments and the method of active sociological testing, analysis and control for modeling behavior strategies. In conclusion, the author argues that the game-theoretic approach to modeling complex protection of infocommunication objects expands the capabilities of decision makers and ensures effective decision-making in conditions of uncertainty. …”
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Optimizing patient education for sustainable self-management in type 2 diabetes by Esther Ugo Alum

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High-density controlled environment agriculture (CEA-HD) air distribution optimization using computational fluid dynamics (CFD) by Gilbert Larochelle Martin, Danielle Monfet

“…The proposed modelling and optimization approach is a small step forward towards model-based design and operation of CEA-HD production spaces.…”
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Joint Optimal Train Rescheduling and Passenger Flow Control for Speed Limit and High-Demand Scenarios of Urban Rail Transits by Jianjun Yuan, Xiaoqun Zhao, Pengzi Chu

“…For speed limit scenarios with high demand, this paper takes the train running in the restricted manual (RM) mode in the speed limit zone as an example and discusses a coping method by jointing train rescheduling and passenger flow control. With the goal of maximizing the number of passengers served and minimizing total train delay, a nonlinear optimization model is constructed by taking the train operation-related requirements and passenger flow control-related indicators as constraints, and the model is reformulated to a mixed-integer programming (MIP) model with quadratic constraints, which can be solved by the Gurobi solver. …”
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Insight into employees' perceptions on reform initiatives in public service organizations using fractional order derivatives with optimal control strategies by Gizachew Kefelew Hailu, Shewafera Wondimagegnhu Teklu, Yohannes Fissha Abebaw, Dejen Ketema Mamo

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Joint Chance-Constrained Economic Dispatch Involving Joint Optimization of Frequency-Related Inverter Control and Regulation Reserve Allocation by Ye Tian, Zhengshuo Li, Wenchuan Wu, Miao Fan

“…This paper proposes a joint chance-constrained economic dispatch model that jointly optimizes the frequency-related inverter control, the system up/down reserves, and base-point power for the minimal total operational cost. …”
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An integrated planning framework for optimal power generation portfolio including frequency and reserve requirements by Olayinka Ayo, Paola Falugi, Goran Strbac

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AI‐Based Ensemble Flood Forecasts and Its Implementation in Multi‐Objective Robust Optimization Operation for Reservoir Flood Control by Yuxue Guo, Yue‐Ping Xu, Xinting Yu, Li Liu, Haiting Gu

“…A multi‐objective robust optimization model (MRO) integrating the risk, resilience, and vulnerability was then proposed to tackle flood control problems under ensemble forecasts; for comparison, a two‐objective stochastic optimization model (TSO) was developed to minimize the expected highest reservoir level and peak release. …”
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