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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Observer Based Optimal Vibration Control of a Full Aircraft System Having Active Landing Gears and Biodynamic Pilot Model by Hakan Yazici, Mert Sever

“…Since the state variables of the pilot body are not available for measurement in practice, an observed based optimal controller is designed via Linear Matrix Inequalities (LMIs) approach. …”
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Study on the Power Consumption Characteristic and Energy Conservation Potential of Continuously Variable Transmission by Zhang Pengfei, Zhang Bojun, Dong Xiaowei, Hao Yunzhi

“…Overall efficiency optimization control strategy,clamping force slip rate control algorithm and new electric oil pump are studied to determine the energy conservation potentials. …”
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Flap/Lag Stall Flutter Control of Large-Scale Wind Turbine Blade Based on Robust H2 Controller by Tingrui Liu, Wei Xu

“…The aeroelastic partial differential equations are reduced by Galerkin method, with the aerodynamic forces decomposed by strip theory. Robust H2 optimal controller is developed to enhance the vibrational behavior and dynamic response to aerodynamic excitation under extreme wind conditions and stabilize structures that might be damaged in the absence of control. …”
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A Combined MPC and PI Control Strategy for Bidirectional Interleaved Totem Pole PFC Converters in Electric Vehicle G2V and V2G Applications by Lassioui Abdellah, Kabba Abdelaziz, El Ancary Marouane, Hasni Anwar, El Asri Yassine, El Idrissi Zakariae, El Fadil Hassan

“…This paper presents an optimized control strategy for a bidirectional interleaved totem pole Power Factor Correction (PFC) converter, employing a combination of Model Predictive Control (MPC) and a Proportional-Integral (PI) controller. …”
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Novel intelligent adaptive sliding mode control for marine fuel cell system via hybrid algorithm by Shiyi Fang, Daifen Chen, Xinyu Fan

“…Within the control system, a sliding mode observer monitors system perturbations, ensuring optimal controller performance. The control strategy employs a non-singular fast terminal sliding surface for the controller, integrating a fuzzy logic and particle swarm optimization to tune the sliding mode gain and dynamically regulate output, thereby enhancing system efficiency and minimizing energy consumption. …”
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Design of an Active Anti-Roll Bar for Off-Road Vehicles by S. Gosselin-Brisson, M. Bouazara, M.J. Richard

“…The active anti-roll bar was designed using full state feedback optimal controller. A simplification of the active system is proposed to reduce the number of measurements and eliminate the need for an optimal observer. …”
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Fault-Tolerant Model Predictive Control for Autonomous Underwater Vehicles Considering Unknown Disturbances by Yimin Chen, Shaowen Hao, Jian Gao, Jiarun Wang, Le Li

“…This approach facilitates controller reconfiguration, thereby enhancing and optimizing control performance. Simulation results demonstrate that the proposed fault-tolerant model predictive control method can effectively achieve stable navigation and heading adjustment under rudder fault conditions in autonomous underwater vehicles.…”
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Hybrid multi-objective optimization of µ-synthesis robust controller for frequency regulation in isolated microgrids by Abdallah Mohammed, Ahmed Kadry, Maged Abo-Adma, Adel El Samahy, Rasha Elazab

“…Comparative analyses demonstrate that the MOPSO-optimized controller achieves superior robustness and performance, tolerating up to 236% uncertainty compared to 171% for conventional µ-synthesis controllers. …”
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Optimized Model Predictive Control-Based Path Planning for Multiple Wheeled Mobile Robots in Uncertain Environments by Yang She, Chao Song, Zetian Sun, Bo Li

“…Secondly, an MPC optimal controller that considers the artificial potential field model is designed to ensure the smooth avoidance of moving and concave obstacles by multiple WMRs in uncertain environments. …”
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Enhanced Modeling and Control of Organic Rankine Cycle Systems via AM‐LSTM Networks Based Nonlinear MPC by Yang Sun, Ming Du, Xiao Qi

“…However, the inherent complexity, strong and unidentified nonlinearity, and control constraints pose significant challenges to designing an optimal controller for ORC systems. To address these issues, this research introduces a novel modeling and control framework for ORC systems. …”
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Energy efficient control of indoor environments under time-varying multi-parameter uncertainty by Jianhao ZHAO, Hua SONG, Xinyuan NAN, Xin CAI

“…Prioritized experience replay (PER) in DDPG is used to rationally and optimally control the power of the equipment for indoor air quality (IAQ) and thermal comfort. …”
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Constant force grinding controller for robots based on SAC optimal parameter finding algorithm by Chosei Rei, Qichao Wang, Linlin Chen, Xinhua Yan, Peng Zhang, Liwei Fu, Chong Wang, Xinghui Liu

“…The algorithm is used to find the optimal controller compensation term parameters and applied to the PID controller to complete the compensation through the inverse kinematics of the robot to achieve constant force grinding control. …”
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A Decentralized Energy Flow Control Framework for Regional Energy Internet by Guofeng Wang, Kangli Zhao, Yu Yang, Junjie Lu, Youbing Zhang

“…The numerical results of real-world traces show that the regional EI can better absorb the renewable energy under the optimized control strategy, which proves the feasibility and economy of the proposed decentralized energy flow control framework.…”
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Study on Energy Management Strategy for Hybrid Heavy-duty Truck based on Dynamic Programming by Pei Zhang, Xianpan Wu, Hongming Xu, Changqing Du, Biao He

“…Firstly， the quasi-static vehicle model of hybrid heavy-duty truck is established based on Matlab software platform， and the mathematical model of dynamic programming optimization control is built with the fuel economy taken as the objective function， the state of charge for the batteries taken as the state variable， and the torque distribution proportion coefficient of hybrid system taken as the control variable. …”
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OPTIMIZATION OF THE CONE BIT OF SPHERICAL FLOATING SLEEVE BASED ON RESPONSE SURFACE METHODOLOGY by HE Wei, SHEN PingSheng, LI HuaChuan, CHEN Yang, HE JunChao, HUANG Shuai

“…By regression analysis model,obtained the circular groove of optimal controllably parameters: r = 0. 53 mm、t = 0. 07 mm、h = 1. 10 mm. …”
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Bio-Inspired Jumping Spider Optimization for Controller Tuning/Parameter Estimation of an Uncertain Aerodynamic MIMO System by Ravi Samikannu, Oduetse Matsebe, David Ezekiel

“…The practical near impossibility of empirical attempts in estimating optimal controller gains makes the use of metaheuristics strategies inevitable to automatically obtain these gains by an iterative, heuristic simulation procedure. …”
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Quantum Long Short-Term Memory-Assisted Optimization for Efficient Vehicle Platooning in Connected and Autonomous Systems by Mahzabeen Emu, Taufiq Rahman, Salimur Choudhury, Kai Salomaa

“…By doing so, we aim to optimize control strategies and maintain string stability within vehicle platoons. …”
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