Neural Network-Based Parameter Estimation and Compensation Control for Time-Delay Servo System of Aeroengine by Hongyi Chen, Qiuhong Li, Zhifeng Ye, Shuwei Pang

“…The estimated delay was embedded into an online sequential extreme learning machine, and a nonlinear model predictive controller was designed to obtain an optimal control sequence. The compensation control loop was designed to reduce the impact of the model and delay mismatch problems of the control system. …”
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Improving the technical and economic efficiency of a derivation-type inverter of micro hydro power plant by B. V. Lukutin, M. M. Popov

“…Thus, the article represents a comprehensive analysis of the technical and economic efficiency and optimal control of a derivation-type inverter micro hydro power plant with an energy storage system, which can be used in the design and operation of similar power supply systems.…”
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Enhancing Air Conditioning System Efficiency Through Load Prediction and Deep Reinforcement Learning: A Case Study of Ground Source Heat Pumps by Zhitao Wang, Yubin Qiu, Shiyu Zhou, Yanfa Tian, Xiangyuan Zhu, Jiying Liu, Shengze Lu

“…It provides a smart and adaptive optimization control solution for heating, ventilation, and air conditioning systems in buildings.…”
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SYNTHESIS OF DESIGN PARAMETERS OF MULTI-PURPOSE DYNAMIC SYSTEMS by Oleksandr Kutsenko, Mykhailo Alforov, Andrii Alforov

“…A general formulation of the multi-purpose problem of optimal control with the choice of design parameters is given. …”
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Modeling BK Virus Infection in Renal Transplant Recipients by Nicholas Myers, Dana Droz, Bruce W. Rogers, Hien Tran, Kevin B. Flores, Cliburn Chan, Stuart J. Knechtle, Annette M. Jackson, Xunrong Luo, Eileen T. Chambers, Janice M. McCarthy

“…We seek to model viral and immune dynamics with the ultimate goal of applying optimal control methods to this problem. In this paper, we begin with a previously published model and make simplifying assumptions that reduce the number of parameters from 20 to 14. …”
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Multiobjective Optimal Formulations for Bus Fleet Size of Public Transit under Headway-Based Holding Control by Shidong Liang, Minghui Ma, Shengxue He

“…Therefore, this work has presented a set of optimal control formulations to minimize the costs for the passengers and the bus company through calculating the optimal number of buses and the dynamic holding time, taking into account the randomness of passenger arrivals. …”
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A Novel LQI-Based Speed Control of Switched Reluctance Motors for High Performance Applications by Paulo M. Robson Costa, Marcelo Vinicius De Paula, Pedro J. Dos Santos Neto, Tarcio Andre Dos Santos Barros

“…The LQI controller, renowned for its optimal control capabilities, offers several benefits, such as favorable dynamic response, and robustness against disturbances and changing parameters. …”
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Dynamic analysis and comparison of the performance of linear and nonlinear controllers applied to a nonlinear non-interactive and interactive process by José M. Campos-Salazar, Pablo Lecaros, Rodrigo Sandoval-García

“…The LQR design employed optimal control theory, minimizing a quadratic cost function to derive the state feedback gain matrix, ensuring system stability by shifting the eigenvalues of the closed-loop system matrix into the left half of the complex plane. …”
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Interaction model estimation-based robotic force-position coordinated optimization for rigid–soft heterogeneous contact tasks by Haochen Zheng, Xueqian Zhai, Hongmin Wu, Jia Pan, Zhihao Xu, Xuefeng Zhou

“…Inspired by Model Predictive Interaction Control (MPIC), this paper proposes differential models for estimating contact geometric parameters and normal-friction forces and formulates an optimal control problem with multiple constraints to allow robots to perform rigid–soft heterogeneous contact tasks. …”
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Quasi‐Static Closed‐Loop Wind‐Farm Control for Combined Power and Fatigue Optimization by Ishaan Sood, Christophe del Fosse et d'Espierres, Johan Meyers

“…The look‐up table‐based fatigue model is developed offline through a series of OpenFast simulations, covering different operational states of a DTU 10‐MW reference wind turbine, and verified against large eddy simulations with aeroelastic coupling. Subsequently, optimal control set points for the TotalControl reference wind power plant are obtained using the analytical model and tested in a wind‐farm emulator that is based on large eddy simulations. …”
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Assessment of Factors Affecting Time to Recovery from COVID-19: A Retrospective Study in Ethiopia by Anteneh Mengist Dessie, Sefineh Fenta Feleke, Denekew Tenaw Anley, Rahel Mulatie Anteneh, Zelalem Animut Demissie

“…The average duration of recovery from COVID-19 and influencing factors, which would help inform optimal control strategies, remain unclear. Moreover, studies regarding this issue are limited in Ethiopia, and no region-wise studies were conducted. …”
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Smart Healthy Schools: An IoT-enabled concept for multi-room dynamic air quality control by Alessandro Zivelonghi, Alessandro Giuseppi

“…In the post-pandemic era, equipping schools with a network of smart IoT sensors has become critical to aspire for the optimal control of the IAQ and lowering the airborne infection risk of several pathogens, indirectly related to cumulated human emitted CO2 levels over time. …”
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Modelling the Transmission Dynamics of Meningitis among High and Low-Risk People in Ghana with Cost-Effectiveness Analysis by Nicholas Kwasi-Do Ohene Opoku, Reindorf Nartey Borkor, Andrews Frimpong Adu, Hannah Nyarkoah Nyarko, Albert Doughan, Edwin Moses Appiah, Biigba Yakubu, Isabel Mensah, Samson Pandam Salifu

“…To find the best strategy for minimizing the number of carriers and infected individuals, we reformulated the model into an optimal control model using Pontryagin’s maximum principles with intervention measures such as vaccination, treatment, and personal protection. …”
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How Does Indonesian Chronic Disease Patient Adhere to Their Treatment? A Cross-Sectional Analysis of 11,408 Subjects by Pradipta IS, Aprilio K, Ningsih YF, Pratama MAA, Gatera VA, Alfian SD, Iskandarsyah A, Abdulah R

“…Further consideration of characteristics associated with treatment nonadherence should be given to ensure optimal control of chronic diseases.Keywords: chronic diseases, adherence, socioeconomic factors, patient-related factors, condition-related factors…”
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Modeling control strategies for concurrent epidemics of seasonal and pandemic H1N1 influenza by Olivia Prosper, Omar Saucedo, Doria Thompson, Griselle Torres-Garcia, Xiaohong Wang, Carlos Castillo-Chavez

“…One- and two-strain models are introduced to mimic the influenza dynamics of a single and co-circulating strains, in the context of a single epidemic outbreak. Optimal control theory is used to identify and evaluate the 'best' control policies. …”
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Metformin for Treating Gestational Diabetes: What Have We Learned During the Last Two Decades? A Systematic Review by Angeliki Gerede, Ekaterini Domali, Christos Chatzakis, Chrysoula Margioula-Siarkou, Stamatios Petousis, Sofoklis Stavros, Konstantinos Nikolettos, Evanthia Gouveri, Sotirios Sotiriou, Panagiotis Tsikouras, Konstantinos Dinas, Nikolaos Nikolettos, Nikolaos Papanas, Dimitrios G. Goulis, Alexandros Sotiriadis

“…Metformin is a highly efficient medication for attaining optimal control of blood sugar levels in women with GDM, resulting in a significant reduction in the amount of weight gained during pregnancy. …”
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Effect of plant and animal based compost on the growth and yield of Okra (Abelmoschus esculentus) in a Nigeria-derived Savanna by Michael Ati Kekong, Nmadzuru Badeggi Ibrahim

“…Each compost type was applied at the rate of 2.5, 5.0, 7.5, and 10 t ha-1 with a zero control and an optimal control of NPK 20.10.10 at 200kgha-1. The treatments were 14 which were laid out in RCBD and replicated thrice. …”
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Research on Optimization Technology of Minimum Specific Fuel Consumption for Triple-Bypass Variable Cycle Engine by Haonan Guo, Yuhua Zhang, Bing Yu

“…Moreover, the performance optimization control itself is premised on sacrificing the surge margin of the engine, and its operating boundary is closer to the surge line, so the limitation protection problem in the transition state cannot be ignored in the process of performance optimization control. …”
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Joint optimization of power and channel access in cognitive radio network by Jiang ZHU, Qingmin DU, Shaowei BA

“…In cognitive radio networks,according to the problem of all users can access the same channel to communicate,two joint optimization schemes for different scenarios were proposed.When the system is infeasible,a scheme of joint optimal power and admission control was proposed.As admission control is the NP problem,the LP-SO was used to achieve optimize control.At the same time,the convergence of the proposed algorithm was analyzed and proved.When the system is feasible,a scheme of joint optimal power and transmission rate allocation was proposed,using the improved Lagrange duality algorithm to achieve optimize control.The numerical results show that compared with other admission control algorithms,the time complexity of proposed algorithm is increased,but it can converge quickly,effectively improves the number of admitted uses while reducing power consumption.In addition,the proposed algorithm can allocate transmission rate more fairly.…”
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FLIGHT PATH CONTROL FOR UNMANNED AERIAL VEHICLE by M. A. Al-Mashhadani

“…Studying the optimized control law specified criteria on UAV while hovering over a path defined by the reference points in the inertial frame. …”
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