Results 41 to 50 of about 7,719 (160)
Energies, 2022 Model Predictive Control (MPC) based on Discrete Space Vector Modulation (DSVM) has the advantages of simple mathematical model and fast dynamic response. It is widely used in permanent magnet synchronous motor (PMSM).
Hao Yu, Jiajun Wang, Zhuangzhuang Xin
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CoNi-MPC: Cooperative Non-inertial Frame Based Model Predictive Control
IEEE Robotics and Automation Letters, 2023 This paper presents a novel solution for UAV control in cooperative multi-robot systems, which can be used in various scenarios such as leader-following, landing on a moving base, or specific relative motion with a target. Unlike classical methods that tackle UAV control in the world frame, we directly control the UAV in the target coordinate frame ...
Baozhe Zhang +6 more
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Extended model predictive control: robust controller with matching condition
Nihon Kikai Gakkai ronbunshu, 2020 This paper describes a new robust controller based on Model Predictive Control (MPC). MPC is one of the useful control methods because it enables to design time response intuitively and to consider the constraint of state and input. However, MPC does not
Kai MASUDA, Kenji UCHIYAMA
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Energy and AIManagement of the electrical grid is becoming more complex due to the increased penetration of alternative energy generation technologies and a broadening diversity of electric loads.
Dylan Wald +9 more
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DiffTune-MPC: Closed-Loop Learning for Model Predictive Control
IEEE Robotics and Automation LettersThe first two authors contributed equally to this ...
Ran Tao +4 more
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LeTac-MPC: Learning Model Predictive Control for Tactile-Reactive Grasping
IEEE Transactions on RoboticsGrasping is a crucial task in robotics, necessitating tactile feedback and reactive grasping adjustments for robust grasping of objects under various conditions and with differing physical properties. In this paper, we introduce LeTac-MPC, a learning-based model predictive control (MPC) for tactile-reactive grasping. Our approach enables the gripper to
Zhengtong Xu, Yu She
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Offline Deep Model Predictive Control (MPC) for Visual Navigation
Accepted at ROBOVIS 2024 : 4th International Conference on Robotics, Computer Vision and Intelligent ...
Taha Bouzid, Youssef Alj
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Load Frequency Control of an Isolated Micro Grid Using Fuzzy Adaptive Model Predictive Control
IEEE Access, 2017 This paper presents a fuzzy adaptive model predictive approach for load frequency control of an isolated micro grid. A generalized state space model of a typical isolated micro grid having controllable and uncontrollable generating power sources is ...
S. Kayalvizhi, D. M. Vinod Kumar
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Deep Learning-Based Predictive Control of Vehicle-to-Grid Onboard Charger Back Stage Models
IEEE AccessTo address the insufficient modeling accuracy and slow dynamic response of the Capacitor-Inductor-Inductor-Capacitor (CLLC) resonant converter in Vehicle-to-Grid (V2G) automotive onboard charger, a deep learning-based model predictive control method for ...
Yongquan Zhang +5 more
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Model Reference Predictive Adaptive Control for Large-Scale Soft Robots
Frontiers in Robotics and AI, 2020 Past work has shown model predictive control (MPC) to be an effective strategy for controlling continuum joint soft robots using basic lumped-parameter models.
Phillip Hyatt +2 more
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