Control Method in Coordinated Balance with the Human Body for Lower-Limb Exoskeleton Rehabilitation Robots by Li Qin, Zhanyi Xing, Jianghao Wang, Guangtong Lu, Houzhao Ji

“…To address the sparse rewards resulting from the above design, we introduce a stepwise training method that adjusts the reward function to control the model’s training direction and exploration difficulty. …”
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Power Control and Voltage Regulation for Grid-Forming Inverters in Distribution Networks by Xichao Zhou, Zhenlan Dou, Chunyan Zhang, Guangyu Song, Xinghua Liu

“…In particular, the current gain is designed to replace voltage feedback for improving the current response and simplifying the control structure. Additionally, in order to optimize voltage and improve the power quality at the terminal of the distribution network, an optimization model for distribution transformers is established with the goal of the maximum qualified rate of the load-side voltage and minimum switching times of transformer tap changers. …”
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Dimensional Analysis and Optimization of 3-DOF Parallel Bionic Mechanical Leg by Wang Xiaolei, Jin Zhenlin, Li Xiaodan, Liu Xiang

“…Combining with the technology of processing and assembling,the multiple target probability parameter optimization method based on performance map is applied to select a set of reasonable structural parameters,which lays a solid foundation for statics and dynamics analysis,stiffness analysis,trajectory planning and motion control of the bionic mechanical leg.…”
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AI-driven digital twin for autonomous web tension control in Roll-to-Roll manufacturing system by Anton Nailevich Gafurov, Sooyoung Lee, Uzair Ali, Muhammad Irfan, Inyoung Kim, Taik-Min Lee

“…To address these challenges, this study proposes an AI-driven digital twin framework for autonomous web tension control optimization. The proposed method integrates Bayesian optimization with Gaussian process modeling to efficiently explore and adjust proportional and integral control parameters. …”
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Real‐Time Self‐Optimization of Quantum Dot Laser Emissions During Machine Learning‐Assisted Epitaxy by Chao Shen, Wenkang Zhan, Shujie Pan, Hongyue Hao, Ning Zhuo, Kaiyao Xin, Hui Cong, Chi Xu, Bo Xu, Tien Khee Ng, Siming Chen, Chunlai Xue, Zhanguo Wang, Chao Zhao

“…This approach guides the dynamic optimization of growth parameters, allowing real‐time feedback control to adjust the QDs emission for lasers. …”
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Hybrid Robust Model Predictive Based Controller for a Class of Multi-Agent Aerial dynamic Systems by Erfan Nejabat, Amirhosein Nikoofard

“…The novelty of the present paper addresses the gap between optimal controllers and robust controllers. The robustness of optimal controllers is not verified in the optimality of MPC controllers. …”
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Coordinative Two-Stage Superheated Steam Temperature Linkage Control Based on Multivariable Generalized Predictive Control Algorithm by Sheng TONG, Le LIU, Pengfei WANG

“…In this paper, the models of superheated steam temperature system under three typical working conditions are established by virtue of recursive least square method, and then an optimization strategy of two-stage superheated steam temperature linkage control based on multivariable generalized predictive control (MGPC) is constructed. …”
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Direct Yaw Control of Vehicle using State Dependent Riccati Equation with Integral Terms by SANDHU, F., SELAMAT, H., MAHALLEH, V. B. S.

“…Direct yaw control of four-wheel vehicles using optimal controllers such as the linear quadratic regulator (LQR) and the sliding mode controller (SMC) either considers only certain parameters constant in the nonlinear equations of vehicle model or totally neglect their effects to obtain simplified models, resulting in loss of states for the system. …”
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A Novel Fuzzy Model Predictive Control of a Gas Turbine in the Combined Cycle Unit by Guolian Hou, Linjuan Gong, Xiaoyan Dai, Mengyi Wang, Congzhi Huang

“…Therefore, aiming at higher control performance of the gas turbine in the gas-steam combined cycle process, a novel fuzzy model predictive control (FMPC) strategy based on the fuzzy selection mechanism and simultaneous heat transfer search (SHTS) algorithm is presented in this paper. …”
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Enhanced adaptive sliding mode control with termination parallelism cooperative optimization for torque ripple reduction in switched reluctance motor drives by G. Karthikeyan, T. Suresh Padmanabhan

“…The design process begins with the development of an 8/6 SRM model in MATLAB/Simulink, followed by the implementation of the control architecture. …”
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MPC-Based Speed Tracking Control for Subway Trains Under Actuator Constraints by Dongdong Liu, Guojun Yan, Jing Zhou, Bo Chen

“…In this paper, we propose a model predictive control (MPC)-based approach for the speed tracking control of subway trains, specifically designed to handle the complexities of constrained optimization in real-world applications. …”
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Formation of unmanned aircraft trajectory when flying around prohibited areas by A. A. Lobaty, A. Y. Bumai, A. M. Avsievich

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Estimation and Control of WRRF Biogas Production by Tiina M. Komulainen, Kjell Rune Jonassen, Simen Gjelseth Antonsen

“…Future work should focus on control studies using extended datasets and nonlinear models.…”
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A Multi-Vector Modulated Model Predictive Control Based on Coordinated Control Strategy of a Photovoltaic-Storage Three-Port DC–DC Converter by Qihui Feng, Meng Zhang, Yutao Xu, Chao Zhang, Dunhui Chen, Xufeng Yuan

“…This paper proposes a multi-vector modulated model predictive control (MVM-MPC) method based on vector analysis for a non-isolated three-port DC–DC converter formed by paralleling two bidirectional DC–DC converters. …”
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Robust Adaptive Path Tracking Control Scheme for Safe Autonomous Driving via Predicted Interval Algorithm by Cong Phat Vo, Jungeun Lee, Jeong Hwan Jeon

“…Meanwhile, a model predictive control technique is conceived from solving an optimization problem that is given in the interval predictor to ensure robust constraint satisfaction. …”
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Model Predictive Control for Pneumatic Manipulator via Receding-Horizon-Based Extended State Observers by Yang Xu, Xiaohui Hao, Dongjie Zhu, Liangchao Wu, Peng Li

“…This paper presents a model predictive control (MPC)-enabled disturbance-rejection controller approach for a pneumatic manipulator system subjected to complex nonlinear terms within the system. …”
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A Robust H2 State Feedback Controller Applied To Boost Converters by Vinícius F. Montagner, Luiz A. Maccari Jr., Humberto Pinheiro, Ricardo C. L. F. Oliveira

“…An optimal H2 state feedback controller (under quadratic stability) is synthesized using convex optimization based on linear matrix inequalities. …”
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Coordinated multi-objective optimization scheduling for electric vehicle swapping station cluster and grid by Xiang Liao, Ziyu Zheng, Beibei Qian, Haiwei Wang, Dianling Zhan, Junyi Shi, Chaoshun Li, Wei Huang

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Probabilistic Optimization Method for Pilot-Bus Selection and Network Partitioning of AC/DC System by Wei YAN, Biao YANG, Jingshan MO, Youbin ZHOU, Tao WANG, Fan XIAO

“…With consideration of the reactive power partitioning balance demand under the node power variation of source-load-converter station, an optimization model is established considering the controllability of the coupling bus of AC/DC system, and is solved by the immune genetic algorithm. …”
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A Unified Control System with Autonomous Collision-Free and Trajectory-Tracking Abilities for Unmanned Surface Vessels Under Effects of Modeling Certainties and Ocean Environmental... by Chun-Yen Lee, Cheng-Yen Sun, I-Ching Hung, Yung-Yue Chen

“…To eliminate the effects of modeling uncertainties and ocean environmental disturbances, a robust compensator is developed to co-work with a nonlinear control law. …”
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