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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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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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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Speed Guidance and Trajectory Optimization of Traffic Flow in a Low-Visibility Zone of a Highway Segment within Multiple Signalized Intersections by Heng Ding, Yajie Cheng, Xiaoyan Zheng, Wenjuan Huang, Jiye Li, Hanyu Yuan

“…To improve the safety and efficiency level of low-visibility zones on highways, a comprehensive optimization control method is proposed. The method uses formations of a low-visibility zone to queue discrete vehicles from the upstream intersection. …”
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Multivehicle Cooperative Lane Change Control Strategy for Intelligent Connected Vehicle by Jie Ni, Jingwen Han, Fei Dong

“…Based on the model predictive control (MPC), a multiobjective optimization control function for cooperative lane change is established to realize the distributed control. …”
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ANALYTICAL SYNTHESIS OF THE METHOD OF TARGETING A SUPERSONIC UNMANNED AERIAL VECHICLE BASED ON MULTI-DIMENSIONAL NONLINEAR DYNAMIC MODEL by V. E. Markevich

“…A method of analytical synthesis of an optimal controller for the terminal control task of supersonic unmanned aerial vehicles based on synergetic approach to the design of control systems for nonlinear multidimensional dynamic objects is considered.The article provides analytical expressions describing the algorithm for control the velocity vector position of a supersonic UAV, the simulation results and the comparative analysis of the proposed control algorithm with the modified method of proportional navigation.…”
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Astrobiology with Robotic Telescopes at CAB by Luis Cuesta, M. Teresa Eibe, Aurora Ullán, Antonio Pérez-Verde, Jorge Navas

“…These telescopes, equipped with advanced technology, optimized control programs, and optical and technical characteristics adequate for this purpose, are ideal to make the observations that are required to carry out these programs. …”
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Optimal Parametric Iteration Method for Solving Multispecies Lotka-Volterra Equations by Vasile Marinca, Nicolae Herişanu

“…The method does not depend upon small parameters and provides us with a convenient way to optimally control the convergence of the approximate solutions. …”
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Optimization of the Aedes aegypti Control Strategies for Integrated Vector Management by Marat Rafikov, Elvira Rafikova, Hyun Mo Yang

“…The solution of the optimization control problem is based on the ideas of the Dynamic Programming and Lyapunov Stability using State-Dependent Riccati Equation (SDRE) control method. …”
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Intelligent Transportation Design Based on Iterative Learning by Yinpu Ma, Kai Liu

“…Most of the existing traffic optimization control methods are based on accurate mathematical models. …”
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Analytic Approximate Solution for Falkner-Skan Equation by Vasile Marinca, Remus-Daniel Ene, Bogdan Marinca

“…Our method does not depend upon small parameters and provides us with a convenient way to optimally control the convergence of the approximate solutions. …”
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A Robust Control for an Aerial Robot Quadrotor under Wind Gusts by Li Ding, Zhenwei Wang

“…Then, a method of parameter tuning is introduced to obtain the optimized control performance. Finally, the effectiveness and advantages of the proposed controller are demonstrated through series of simulation case.…”
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Optimal Tuning of Decentralized PI Controller of Nonlinear Multivariable Process Using Archival Based Multiobjective Particle Swarm Optimization by R. Kotteeswaran, L. Sivakumar

“…The controller with optimized controller parameters meets all the performance requirements at 0%, 50%, and 100% load conditions. …”
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Development Path Planning of Sports and Wellness Town under the Background of Computer Virtual Reality Technology by Lichun Chen, Bingxu Lu

“…Finally, an event-triggered near-optimal controller is obtained when evaluating the network’s success in approximating the improved cost function. …”
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I-PD Controller Tuning for Unstable System Using Bacterial Foraging Algorithm: A Study Based on Various Error Criterion by V. Rajinikanth, K. Latha

“…The tuning process is focussed to search the optimal controller parameters (𝐾𝑝, 𝐾𝑖, 𝐾𝑑) by minimising the multiple objective performance criterion. …”
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Preparing Schrödinger Cat States in a Microwave Cavity Using a Neural Network by Hector Hutin, Pavlo Bilous, Chengzhi Ye, Sepideh Abdollahi, Loris Cros, Tom Dvir, Tirth Shah, Yonatan Cohen, Audrey Bienfait, Florian Marquardt, Benjamin Huard

“…We show that it is possible to teach a neural network to output optimized control pulses for a whole family of quantum states. …”
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Mathematical assessment of the role of temperature on desert locust population dynamics. by Dejen Ketema Mamo, Mathew N Kinyanjui, Nourridine Siewe

“…By providing a deeper understanding of temperature-driven population shifts, this model enhances the ability to predict locust outbreaks, optimize control strategies, and reduce the socio-economic and ecological impacts of locust invasions.…”
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Model Predictive Control of Robotic Grinding Based on Deep Belief Network by Shouyan Chen, Tie Zhang, Yanbiao Zou, Meng Xiao

“…A rolling optimization formula derived from the energy function is also established to optimize control output in real time and perform feedback control. …”
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Learning and forecasting open quantum dynamics with correlated noise by Xinfang Zhang, Zhihao Wu, Gregory A. L. White, Zhongcheng Xiang, Shun Hu, Zhihui Peng, Yong Liu, Dongning Zheng, Xiang Fu, Anqi Huang, Dario Poletti, Kavan Modi, Junjie Wu, Mingtang Deng, Chu Guo

“…This approach shows a path towards efficient and effective learning of noisy quantum dynamics and optimally control quantum processors over long and complex computations even in the presence of correlated noise.…”
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