Rotating antibiotics selects optimally against antibiotic resistance, in theory by Robert E. Beardmore, Rafael Peña-Miller

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Optimal Location for Electric Vehicle Fast Charging Station as a Dynamic Load for Frequency Control Using Particle Swarm Optimization Method by Yassir A. Alhazmi, Ibrahim A. Altarjami

“…The second stage is to explore the optimal regulation of the dynamic EVFCS load using the PSO approach for the PID controller. …”
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Research on Energy Saving Optimization of Metro Train Based on Immuneparticle Swarm Optimization Algorithm by WANG Heliang

“…With full consideration of metro train dynamic characteristics, line conditions, speed limit in the interval, punctuality and so on, the multi-constraints energy consumption model based on utilization of regenerative braking energy was established according to the modern optimal control theory. …”
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Global dynamics and time-optimal control studies for additional food provided holling type-III mutually interfering prey-predator systems with applications to pest management by D. Bhanu Prakash, D. K. K. Vamsi

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Dynamics of pest control model using natural enemy and refugia plant by Muhammad Luthfi, Agus Suryanto, Isnani Darti, Farah Aini Abdullah

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Asynchronous Distributed Model Predictive Control for Multi-Agent Systems by Xiaoxiao Mi, Yuanjiang Liao, Hongzheng Zeng

“…Then, an asynchronous distributed model predictive control with a dual-mode strategy is developed and sufficient conditions on the design parameters are constructed to ensure recursive feasibility and system stability. …”
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Effectiveness of bed nets and media awareness in dengue control: A fuzzy analysis by Shobha Islam, Md. Shahidul Islam, Md. Kamrujjaman

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NONLINEAR TRACKING CONTROL FOR PREY STABILIZATION IN PREDATOR-PREY MODEL USING BACKSTEPPING by Khozin Mu`tamar, Janson Naiborhu, Roberd Saragih, Dewi Handayani

“…The common method used in population dynamics is optimal control, which employs Pontryagin’s minimum principle. …”
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Fuzzy LQR-based control to ensure comfort in HVAC system with two different zones by Elif Çinar, Tayfun Abut

“…The core novelty of this work lies in the development and comparison of advanced control algorithms, including the Linear Quadratic Regulator (LQR), a Particle Swarm Optimization (PSO)-based LQR, and a newly designed PSO-based Fuzzy LQR (FLQR) controller. …”
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Leader-Following-Based Optimal Fault-Tolerant Consensus Control for Air–Marine–Submarine Heterogeneous Systems by Yandong Li, Longqi Li, Ling Zhu, Zehua Zhang, Yuan Guo

“…Then, for the fault-tolerant control (FTC) consensus problem of heterogeneous systems under partial actuator failures and interruption failures, an optimal FTC protocol for heterogeneous multi-agent systems based on the control allocation algorithm is designed. …”
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Construction and application of optimized model for mine water inflow prediction based on neural network and ARIMA model by Xiaoyu Gong, Bo Li, Yu Yang, MengHua Li, Tao Li, Beibei Zhang, Lulin Zheng, Hongfei Duan, Pu Liu, Xin Hu, Xin Xiang, Xinju Zhou

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Distributed photovoltaic reactive power control strategy based on improved multiobjective particle swarm algorithm by Hongli Liu, Li Hao, Li Ji, Shao Lei

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Load Frequency Control Optimization for Hydroelectric Systems Based on Type-II Fuzzy Deep Learning by Ghanshyam G. Tejani, Sumit Kumar

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A tutorial review of policy iteration methods in reinforcement learning for nonlinear optimal control by Yujia Wang, Xinji Zhu, Zhe Wu

“…Reinforcement learning (RL) has been a powerful framework for designing optimal controllers for nonlinear systems. This tutorial review provides a comprehensive exploration of RL techniques, with a particular focus on policy iteration methods for the development of optimal controllers. …”
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AI-Enhanced Nonlinear Predictive Control for Smart Greenhouses: A Performance Comparison of Forecast and Warm-Start Strategies by Hung Linh Le, Van-Tung Bui

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Methods for Applying Matrices when Creating Models of Group Pursuit by A. A. Dubanov

“…It is obvious that in the near future, the issues of equipping moving robotic systems with autonomous control elements will remain relevant. This requires the development of models of group pursuit. …”
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Review on Research and Development of Magnetic Bearings by Yuanhao Du, Gan Zhang, Wei Hua

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THE MEASURABILITY OF CONTROLLING PERFORMANCE by V. Laval

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Physical Model for the Simulation of an Air Handling Unit Employed in an Automotive Production Process: Calibration Procedure and Potential Energy Saving by Luca Viscito, Francesco Pelella, Andrea Rega, Federico Magnea, Gerardo Maria Mauro, Alessandro Zanella, Alfonso William Mauro, Nicola Bianco

Subjects: “…model predictive control…”
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Reinforcement Learning for Stability-Guaranteed Adaptive Optimal Primary Frequency Control of Power Systems Using Partially Monotonic Neural Networks by Hamad Alduaij, Yang Weng

“…Recent studies propose using neural Lyapunov-based reinforcement learning for control. While this method can be trained offline with performance guarantees, it is only optimal for specific values of system parameters, as it omits critical modeling factors like decreasing inertia and damping variation over time. …”
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