Results 41 to 50 of about 7,205 (166)

A neural-network-enhanced parameter-varying framework for multi-objective model predictive control applied to buildings

Energy and AI
Management 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, Olga Doronina, Kathryn Johnson, Ryan King, Michael Sinner, Kevin Griffin, Rohit Chintala, Deepthi Vaidhynathan, Jibonananda Sanyal, Marc Day   +9 more
doaj   +1 more source

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
doaj   +1 more source

E-MPC: Edge-assisted Model Predictive Control

Model predictive control (MPC) has become the de facto standard action space for local planning and learning-based control in many continuous robotic control tasks, including autonomous driving. MPC solves a long-horizon cost optimization as a series of short-horizon optimizations based on a global planner-supplied reference path. The primary challenge
Lou, Yuan-Yao, Spencer, Jonathan, Kim, Kwang Taik, Chiang, Mung   +3 more
openaire   +2 more sources

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, Curtis C. Johnson, Marc D. Killpack   +2 more
doaj   +1 more source

Particle Model Predictive Control: Tractable Stochastic Nonlinear Output-Feedback MPC

IFAC-PapersOnLine, 2017
6 pages, 5 figures, to appear in proc.
Sehr, Martin A., Bitmead, Robert R.
openaire   +2 more sources

Deep Learning-Based Predictive Control of Vehicle-to-Grid Onboard Charger Back Stage Models

IEEE Access
To 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, Weidong Xue, Shuaibing Li, Yongqiang Kang, Junmin Zhu, Haiying Dong   +5 more
doaj   +1 more source

Offline Deep Model Predictive Control (MPC) for Visual Navigation

Accepted at ROBOVIS 2024 : 4th International Conference on Robotics, Computer Vision and Intelligent ...
Bouzid, Taha, Alj, Youssef
openaire   +2 more sources

LeTac-MPC: Learning Model Predictive Control for Tactile-Reactive Grasping

IEEE Transactions on Robotics
Grasping 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
openaire   +2 more sources

Model predictive control in light naphtha distillation column of gasoline hydrogenation process

KKU Engineering Journal, 2015
The main scope of this research is for designing and implementing of model predictive control (MPC) on the light naphtha distillation column of gasoline hydrogenation process.
Kornkrit Chiewchanchairat, Pornchai Bumroongsri, Soorathep Kheawhom   +2 more
doaj   +1 more source

An MPC-driven VSL control of motorway traffic by employing a continuum second-order traffic model

Transportation Engineering
Variable speed limit (VSL) system driven by model predictive control (MPC) is implemented as a proactive traffic control measure for effective and safer traffic flow operations.
Waheed Imran, Alessio Tesone, Balázs Varga, Gennaro Nicola Bifulco, Luigi Pariota   +4 more
doaj   +1 more source