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Fast and Lightweight: A real-time parallelizable MPC for embedded systems
期刊论文
EUROPEAN JOURNAL OF CONTROL, 2025, 卷号: 83
作者:
Jiang, Yuning
;
Fedorová, Kristína
;
Su, Junyan
;
Oravec, Juraj
;
Houska, Boris
HTML(62Kb)
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浏览/下载:35/0
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提交时间:2025/04/11
C (programming language)
Linear control systems
Open loop control
Open source software
Optimal control systems
Quadratic programming
Affine function
Distributed optimization
Embedded control
Model-predictive control
Multi-parametric optimizations
Open source implementation
Piece-wise
Quadratic programming problems
Real- time
Real-time control
Joint Control of Power, Beamwidth, and Spacing for Platoon-based Vehicular Cyber-Physical Systems
期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 卷号: 71, 期号: 8, 页码: 1-1
作者:
Hanyu Zhu
;
Yong Zhou
;
Xiliang Luo
;
Haibo Zhou
Adobe PDF(1704Kb)
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浏览/下载:672/0
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提交时间:2022/07/25
Cyber Physical System
Deep learning
Efficiency
Embedded systems
Intelligent systems
Power control
Problem solving
Quality control
Reinforcement learning
Vehicle to vehicle communications
Vehicles
Autonomous Vehicles
Beamwidth control
Interference
Quality-of-service
Spacing control
Time-scales
Two-timescale reinforcement learning
Vehicle platooning
Vehicle-to-infrastructure
Vehicle-to-infrastructure communication
Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles
会议论文
PROCEEDINGS - IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, Philadelphia, PA, United states, May 23, 2022 - May 27, 2022
作者:
Songyang Han
;
He Wang
;
Sanbao Su
;
Yuanyuan Shi
;
Fei Miao
Adobe PDF(7127Kb)
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浏览/下载:750/243
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提交时间:2022/09/09
Autonomous agents
Autonomous vehicles
Embedded systems
Fertilizers
Game theory
Learning algorithms
Learning systems
Multi agent systems
Networked control systems
Vehicle to vehicle communications
Autonomous Vehicles
Communicationtechnology
Control process
Multi-agent reinforcement learning
Networked cyber-physical systems
Performance
Sensing technology
Shapley value
Transferable utility games
Value-based
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