Indefinite LQ Optimal Control with Terminal State Constraint for Discrete-Time Uncertain Systems by Yuefen Chen, Minghai Yang

“…This paper studies a discrete-time LQ optimal control with terminal state constraint, whereas the weighting matrices in the cost function are indefinite and the system states are disturbed by uncertain noises. …”
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Quadrotor Robust Fractional-Order Control Based on a Recent Bonobo Optimization Algorithm by Faycal Ziani, Aissa Benhammou, Mohamed Amine Hartani, Hegazy Rezk

“…This research work presents an in-depth analysis of a quadcopter in terms of modeling, control, and optimization, where central to the operation of quadcopters and all robotics systems is the idea of stability response. …”
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Symbolic Analysis of Sub-Optimal Bang-Bang Control Mechanisms in Base Isolated Structures by Robert Sebastianelli, Mark A. Austin

“…We identify modeling constraints and limits (e.g., perfect isolation) where lengthy symbolic expressions simplify to the point where relationships between the inner workings of the bang-bang control strategy and specific design objectives become evident.…”
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The application and performance optimization of multi-controller-based load balancing algorithm in computer networks by Fengfeng Guo, Ailing Ye

“…This method involves problem modeling, analysis, and selection processes, including the selection of switches and target controllers within the network segment. …”
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Design of Adaptive LQR Control Based on Improved Grey Wolf Optimization for Prosthetic Hand by Khaled Ahmed, Ayman A. Aly, Mohamed O. Elhabib

“…This study proposes an Improved Grey Wolf Optimization (IGWO)-tuned Linear Quadratic Regulator (LQR) to enhance the control performance of an MFRH. …”
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Leveraging prior mean models for faster Bayesian optimization of particle accelerators by Tobias Boltz, Jose L. Martinez, Connie Xu, Kathryn R. L. Baker, Zihan Zhu, Jenny Morgan, Ryan Roussel, Daniel Ratner, Brahim Mustapha, Auralee L. Edelen

“…One of the major advantages of Bayesian algorithms is the ability to incorporate prior information about beam physics and historical behavior into the model used to make control decisions. In this work, we examine incorporating prior accelerator physics information into Bayesian optimization algorithms by utilizing fast executing, neural network models trained on simulated or historical datasets as prior mean functions in Gaussian process models. …”
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Winglet Design for Aerodynamic and Performance Optimization of UAVs via Surrogate Modeling by Eleftherios Nikolaou, Spyridon Kilimtzidis, Vassilis Kostopoulos

“…In particular, the proposed SBO framework optimized the UAV’s aerodynamic characteristics, including lift-to-drag ratio and drag reduction, followed by a stability and control analyses to ensure balanced performance for the optimal configurations. …”
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RESEARCH ON ACTIVE CONTROL OF VARIABLE MASS SEAT SUSPENSION USING PD CONTROL by AN CunSheng, CHEN XiaoLiang, WEI WeiZhen, LIU Kui

“…The active seat suspension system model was established, and the active seat suspension control system was designed. …”
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A Mode Selected Mixed Logic Dynamic Model and Model Predictive Control of Buck Converter by Lei Jiang, Enliang Liu, Ding Liu

“…Since the modeling process ignores the inductance and current, it is necessary to convert the optimization prediction control resulting to avoid the problem that the model is inconsistent with the control object. …”
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Parameter Optimization of Transformer Model Based onSimulation Credibility Evaluation by YING Ting, LI Jianghong

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Modeling and Evolutionary Optimization on Multilevel Production Scheduling: A Case Study by Ruifeng Shi, Chunxia Shangguan, Hong Zhou

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Model-Following Preview Control for a Class of Linear Descriptor Systems with Actuator Failures by Chen Jia, Li Li

“…Firstly, the model-following problem is transformed into an optimal preview control problem by utilizing restricted equivalent transformations and the construction of augmented systems. …”
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Continuous-Control-Set Model Predictive Control Strategy for MMC-UPQC Under Non-Ideal Conditions by Lianghua Chen, Jianping Zhou, Jiayu Zhai, Lisheng Yang, Xudong Qian, Zhiyong Tao

“…In the MMC-based unified power quality conditioner (MMC-UPQC), the computational burden of finite-control-set model predictive control (FCS-MPC) increases rapidly with the number of MMC submodules. …”
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Distributed coordinated control for voltage regulation in active distribution networks based on robust model predictive control by Guocheng Song, Qiuwei Wu, Wenshu Jiao, Lina Lu

“…To address these challenges, this paper proposes a double-time-scale distributed voltage control strategy for ADNs based on robust model predictive control (RMPC), which considers the coordination between multiple voltage regulation devices. …”
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Molecular Generation and Optimization of Molecular Properties Using a Transformer Model by Zhongyin Xu, Xiujuan Lei, Mei Ma, Yi Pan

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KENDALI OPTIMAL DARI SISTEM INVENTORI DENGAN PENINGKATAN DAN PENURUNAN BARANG by P Affandi, Faisal Faisal, Y Yulida

“…It can be concluded that, in theory, inventory system can be increased and decreased. This problem can be modeled and solved using optimal control techniques, so it will be obtained an optimum value of inventory levels and the average optimal production.…”
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Enhanced Success History Adaptive DE for Parameter Optimization of Photovoltaic Models by Yingjie Song, Daqing Wu, Ali Wagdy Mohamed, Xiangbing Zhou, Bin Zhang, Wu Deng

“…Finally, a parameter optimization method based on EBLSHADE is proposed to optimize parameters of PV models. …”
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Differential Evolution in Problems Optimal Parameters Search for Population-Migration Models by Olga Druzhinina, Olga Masina, Irina Vasilyeva

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A Model Predictive Control Strategy with Minimum Model Error Kalman Filter Observer for HMEV-AS by Ying Zhou, Chenlai Liu, Zhongxing Li, Yi Yu

“…In hub-motor electric vehicles (HMEVs), performance is adversely affected by the mechanical-electromagnetic coupling effect arising from deformations of the air gap in the Permanent Magnet Brushless Direct Current Motor (PM BLDC), which are exacerbated by varying road conditions. In this paper, a Model Predictive Control (MPC) strategy for HMEVs equipped with air suspension (AS) is introduced to enhance ride comfort. …”
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Uniqueness of Optimal Power Management Strategies for Energy Storage Dynamic Models by Tom Goldstein-Tweg, Elinor Ginzburg-Ganz, Juri Belikov, Yoash Levron

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