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检索条件"机构=Center for Systems and Control and Department of Mechanical Engineering"
10060 条 记 录,以下是1-10 订阅
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Joint Fuel-optimal control of the Velocity and Power-split of Hybrid Electric Vehicles
IEEE Transactions on Intelligent Vehicles
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IEEE Transactions on Intelligent Vehicles 2024年 第9期9卷 1-12页
作者: Borsboom, Olaf Salazar, Mauro Keulen, Thijs van Control Systems Technology section Department of Mechanical Engineering Eindhoven University of Technology Eindhoven MB The Netherlands
This paper explores the eco-driving problem of parallel hybrid electric vehicles, intended to drive a certain distance within a limited amount of time, where the longitudinal vehicle velocity and powertrain controls a... 详细信息
来源: 评论
Sampled-data-based synchronization of complex networks under scaling attacks
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Mathematical Methods in the Applied Sciences 2024年 第18期47卷 14487-14504页
作者: Murugesan, Sathishkumar Ishizaki, Takayuki Liu, Yen-Chen Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo Japan Department of Mechanical Engineering National Cheng Kung University Tainan Taiwan
In this study, our main objective is to address the issue of sampled-data-based synchronization of complex networks subjected to stochastic scaling attacks using a looped-functional approach. To begin with, the design... 详细信息
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Gradient Descent-Based Adaptive control for Time-Varying Command Following
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IEEE Transactions on Automatic control 2025年 第6期70卷 4069-4076页
作者: Jaramillo, Jesse Yucelen, Tansel University of South Florida Laboratory for Autonomy Control Information and Systems Department of Mechanical Engineering TampaFL33620 United States
Output regulation theory is an effective method for achieving accurate time-varying command following and can utilize adaptive internal models to follow arbitrary reference signals generated by an exosystem. However, ... 详细信息
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A Recursive System Identification With Non-Uniform Temporal Feedback Under Coprime Collaborative Sensing
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ASME Letters in Dynamic systems and control 2023年 第2期3卷 021010页
作者: Ouyang, Jinhua Chen, Xu Mechatronics Automation and Control Systems Laboratory Department of Mechanical Engineering University of Washington SeattleWA98195 United States Mechatronics Automation and Control Systems Laboratory Department of Mechanical Engineering University of Washington SeattleWA98195 United States
We present a system identification method based on recursive least-squares (RLS) and coprime collaborative sensing, which can recover system dynamics from non-uniform temporal data. Focusing on systems with fast input... 详细信息
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Energy and Exergy Analysis of Pyramid-Type Solar Still Coupled with Magnetic and Electrical Effects by Using Matlab Simulation
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Frontiers in Heat and Mass Transfer 2024年 第1期22卷 217-262页
作者: Karrar A.Hammoodi Hayder A.Dhahad Wissam H.Alawee Z.M.Omara Air Conditioning Engineering Department Faculty of EngineeringWarith Al-Anbiyaa UniversityBaghdadIraq Mechanical Engineering Department University of TechnologyBaghdadIraq Control and Systems Engineering Department University of TechnologyBaghdadIraq Mechanical Engineering Department Faculty of EngineeringKafrelsheikh UniversityKafrelsheikhEgypt
In the face of an escalating global water crisis,countries worldwide grapple with the crippling effects of scarcity,jeopardizing economic progress and hindering societal *** energy emerges as a beacon of hope,offering... 详细信息
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The Unscented Kalman Filter for Nonlinear Parameter Identification of Adaptive Cruise control systems
arXiv
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arXiv 2023年 第8期8卷 4094页
作者: Ampountolas, Konstantinos The Automatic Control & Autonomous Systems Laboratory Department of Mechanical Engineering University of Thessaly Volos38334 Greece
This paper develops and investigates a dual unscented Kalman filter (DUKF) for the joint nonlinear state and parameter identification of commercial adaptive cruise control (ACC) systems. Although the core functionalit... 详细信息
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Resilient annular finite-time synchronization for master-slave systems under scaling attacks
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IET control Theory and Applications 2023年 第18期17卷 2458-2473页
作者: Murugesan, Sathishkumar Ishizaki, Takayuki Liu, Yen-Chen Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo Japan Department of Mechanical Engineering National Cheng Kung University Tainan Taiwan
This paper investigates the resilient annular finite-time synchronization and boundedness problems for master-slave systems under dynamic event-triggered scheme (ETS), actuator faults, and scaling attacks. A comprehen... 详细信息
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Experimental Study on Heat Storage Properties Comparison of Paraffin/Metal Foams Phase Change Material Composites
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Journal of Thermal Science 2024年 第2期33卷 469-478页
作者: Waqar AHMED Abid HUSSAIN Hanzla SHAHID Imran ALI Hafiz Muhammad ALI Department of Mechanical Engineering University of Engineering and TechnologyTaxila47080Pakistan Department of Mechanical Engineering Institute of Space TechnologyIslamabadPakistan Department of Mechanical Mechatronics and Manufacturing EngineeringUniversity of Engineering and Technology LahoreFaisalabad CampusPunjabPakistan Mechanical Engineering Department King Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia Interdisciplinary Research Center for Renewable Energy and Power Systems(IRC-REPS) King Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia
Heat storage properties of phase change materials(PCMs) are essential characteristics that perform a key role in thermal heat energy storage *** thermal properties of PCMs can be improved by developing metal foam/PCM ... 详细信息
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Data-Efficient Quadratic Q-Learning Using LMIs  63
Data-Efficient Quadratic Q-Learning Using LMIs
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63rd IEEE Conference on Decision and control, CDC 2024
作者: Van Hulst, J.S. Heemels, W.P.M.H. Antunes, D.J. Eindhoven University of Technology Control Systems Technology Section Department of Mechanical Engineering Netherlands
Reinforcement learning (RL) has seen significant research and application results but often requires large amounts of training data. This paper proposes two data-efficient off-policy RL methods that use parametrized Q... 详细信息
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Predictable Interval MDPs through Entropy Regularization  63
Predictable Interval MDPs through Entropy Regularization
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63rd IEEE Conference on Decision and control, CDC 2024
作者: Van Zutphen, M.J.T.C. Delimpaltadakis, G. Heemels, W.P.M.H. Antunes, D.J. Eindhoven University of Technology Control Systems Technology Group Department of Mechanical Engineering Netherlands
Regularization of control policies using entropy can be instrumental in adjusting predictability levels of real-world systems. Applications benefiting from such approaches range from cybersecurity, which aims at maxim... 详细信息
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