A Midcourse Guidance Method Combined with Trajectory Prediction for Antinear-Space-Gliding Vehicles by JiaQing Wan, Qian Zhang, Hao Zhang, JiaNing Liu

“…The analytical expression of a guidance command based on zero-error-miss/zero-error-velocity is established on the basis of the optimal control theory to provide an optimal flight path guiding an NSGV fly toward a point of interception. …”
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Optimal Multi-Physics Synthesis of a Dual-Frequency Power Inductor Using Deep Neural Networks and Gaussian Process Regression by Paolo Di Barba, Arash Ghafoorinejad, Maria Evelina Mognaschi, Fabrizio Dughiero, Michele Forzan, Elisabetta Sieni

“…The former is an optimization approach based on a multi-objective formulation, solved by means of the NSGA-II algorithm; the latter is a two-step procedure, based on fully connected Deep Neural Networks (DNNs), solving an optimal design problem first and, subsequently, an optimal control problem.…”
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Use of a Simple Mechanical Analogy to Analytically Tune the PD Controller of a Flexible Manipulator System by Sang-Myeong Kim, Heungseob Kim, Kwangsuck Boo

“…A design methodology is finally established to analytically determine the optimal elements of the mount, corresponding to the optimal control gains. Simulations and experiments were also conducted with a single-link flexible beam to support the model and the design methodology developed.…”
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Mixed Integer Linear Programming Based Speed Profile Optimization for Heavy-Haul Trains by Huazhen Yu, Yihui Wang, Andrea D’Ariano, Anzheng Lai, Youneng Huang

“…The resulting problem is a nonlinear optimal control problem. To achieve linearization, auxiliary 0-1 binary variables and the big-M approach are introduced to transform the nonlinear constraints regarding slope, curve, neutral section, air brake force, and air-filled time into linear constraints. …”
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Optimizing Spectrum Trading in Cognitive Mesh Network Using Machine Learning by Ayoub Alsarhan, Anjali Agarwal

“…RL is used to extract the optimal control policy that maximizes the PUs’ profit continuously over time. …”
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Pharmacovigilance of carbamazepine at the Marta Abreu Polyclinic. Santa Clara, 2022 by Adrián Ruíz López

“…<br /><strong>Conclusions:</strong> knowledge about the use and abuse of narcotic drugs is important, as well as keeping all health personnel updated to achieve optimal control over these substances.</p>…”
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Optimization Model and Method of Variable Speed Limit for Urban Expressway by Shubin Li, Tao Wang, Hualing Ren, Baiying Shi, Xiangke Kong

“…In this paper, the theory of variable speed limit (VSL) was used to develop an optimal control model based on the improved traffic flow simulation model according to the characteristics of urban expressway traffic flow. …”
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Methodology to minimize the dynamic response of tall buildings under wind load controlled through semi-active magneto-rheological dampers by Francisco da Silva Brandão, Alex Koch de Almeida, Letícia Fleck Fadel Miguel

“…Then, in the third configuration, Controlled Optimized (C3), a set of MR dampers with behavior formulated via the modified Bouc-Wen rheological model and controlled through the Linear Quadratic Regulator associated with the Clipped Optimal control strategy (LQR-CO) is applied to the structure. …”
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Leveraging the Turnpike Effect for Mean Field Games Numerics by Rene A. Carmona, Claire Zeng

“…The gist of this phenomenon is a proof that the solution of an optimal control problem over a long time interval spends most of its time near the stationary solution of the ergodic version of the corresponding infinite horizon optimization problem. …”
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Smart Grid Dispatching Optimization for System Resilience Improvement by Li Liao, Chengjun Ji

“…By establishing an effective objective function, the adjustable load scheduling problem is transformed into a solvable optimal control problem. Taking into account the uncertain factors in the system, the advantage of the real-time control system is that it can realize the dynamic update scheduling of the load, so it is more in line with the requirements of the actual system. …”
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Variable-Time-Domain Online Neighboring Optimal Trajectory Modification for Hypersonic Interceptors by Ningbo Li, Humin Lei, Jin Zhou, Lei Shao, Bin Wang

“…In this paper, an online trajectory generation algorithm is designed based on neighboring optimal control (NOC) theory and improved indirect Radau pseudospectral method (IRPM). …”
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Teaching-Learning-Based Optimization with Learning Enthusiasm Mechanism and Its Application in Chemical Engineering by Xu Chen, Bin Xu, Kunjie Yu, Wenli Du

“…Finally, LebTLBO is applied to solve three optimal control problems in chemical engineering, and the competitive results show its potential for real-world problems.…”
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Control of Magnetic Manipulator Using Reinforcement Learning Based on Incrementally Adapted Local Linear Models by Martin Brablc, Jan Žegklitz, Robert Grepl, Robert Babuška

“…Index Terms–AI-based methods, local linear regression, nonlinear systems, magnetic manipulation, model learning for control, optimal control, reinforcement learning, symbolic regression.…”
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Algorithm for determining the operating parameters of an electrical network in the problem of optimal reconfiguration in real time by Vladislav A. Rokhlov, Rustam N. Khamitov, Sergey N. Zherebtsov, Anastasia A. Latyntseva

“…Development of an algorithm for determining the parameters of the operating mode of an electrical network, applicable in a system of optimal control of the network configuration in order to reduce the level of electricity losses in the network. …”
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Optimum Control for Nonlinear Dynamic Radial Deformation of Turbine Casing with Time-Varying LSSVM by Cheng-Wei Fei, Guang-Chen Bai, Wen-Zhong Tang, Yatsze Choy

“…And then the nonlinear dynamic optimal control model of casing radial deformation was constructed with T-LSSVM. …”
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Optimal Benefit Distribution of a Tontine-like Annuity Fund with Age-Structured Models by Fan Zhang, Ping Chen, Xueyuan Wu

“…The primary mathematical approach employed is the Maximum Principle from optimal control theory, which helps in deriving explicit solutions for the optimal subsidy strategy. …”
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Design and optimization of distributed energy management system based on edge computing and machine learning by Nan Feng, Conglin Ran

“…The contribution of this research lies in the combination of edge computing and machine learning technology to achieve real-time optimal control of the distributed energy system, reduce the system’s computing load and delay, and improve the accuracy and flexibility of energy management through data-driven methods. …”
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A Two-Level Model for Traffic Signal Timing and Trajectories Planning of Multiple CAVs in a Random Environment by Yangsheng Jiang, Bin Zhao, Meng Liu, Zhihong Yao

“…The dynamic programming (DP) and the General Pseudospectral Optimal Control Software (GPOPS) are applied to solve the two-level optimization problem. …”
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Pareto-Optimal Event-Based Scheme for Station and Inter-Station Control of Electric and Automated Buses by Cecilia Pasquale, Simona Sacone, Silvia Siri, Antonella Ferrara

“…For the resulting multi-objective optimal control problem a Pareto front analysis is performed in the paper, also considering a real test case. …”
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Soft Sensor Modeling Method Based on SPA-GWO-SVR for Marine Protease Fermentation Process by Zhu Li, Khalil Ur Rehman, Liu Wenhui, Faiza Atique

“…The real-time monitoring was processed by MATLAB software for the marine protease fermentation process, which met the requirements of optimal control of the marine protease fermentation process.…”
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