检索结果-内蒙古大学图书馆

International Conference on Methods and Models in Automation and robotics (MMAR)

作者： Przemysław Gąsior Adam Bondyra Stanisław Gardecki Wojciech Giernacki Faculty of Electrical Engineering Institute of Control and Information Engineering Polish Aerial Robotics Team Poznan Poland Politechnika Poznanska Poznan PL

This paper describes the process of the development and improvement of the altitude and vertical velocity estimation algorithm. The previous method was developed by authors two years back. After a diagnosis of pressure temperature drift caused by the main IMU, the additional barometric sensor was introduced. Based on readings from this reference component, three main modifications were developed to the algorithm's structure. In addition, three experimental sequences are presented to compare the previous approach with new ones. Results showed that new methods achieve better performance and are free from pressure drift caused by sensor's heating. Decreasing frequency of altitude measurements in Kalman filter resulted in more robust estimates for pressure changes not related to the vertical movement in indoor and outdoor flights. With properly working estimation algorithm, there is a possibility to develop a controller to maintain desired altitude or vertical velocity.

关键词： Acceleration Temperature measurement Kalman filters Estimation Mathematical model Robot sensing systems Cameras

来源：评论

学校读者我要写书评

暂无评论

LQ control of Lotka-Volterra Systems Based on their Locally Linearized Dynamics

引用

IFAC-PapersOnLine 2016年第10期49卷 241-245页

作者： Lipták, Görgy Magyar, Attila Hangos, Katalin M. University of Pannonia Faculty of Information Technology Department of Electrical Engineering and Information Systems H-8200 Egyetem street 10 Veszprém Hungary HAS Computers and Automation Research Institute Process Control Research Group H-1111 Kende street 13-17 Budapest Hungary

This work applies the LQ control framework to the class of quasi-polynomial and Lotka-Volterra systems through the linearized version of their nonlinear system model. The primary aim is to globally stabilize the original system with a suboptimal LQ state feedback by means of a well-known entropy-like Lyapunov function that is related to the diagonal stability of linear systems. This aim can only be reached in the case when the quasi-monomial composition matrix is invertible. In the rank-deficient case only the local stabilization of the system is possible with an LQ controller that is designed using the locally linearized model of the closed-loop system model. © 2016

关键词： System stability Biological systems Closed loop systems Linear matrix inequalities Linear systems Linearization Lyapunov functions Nonlinear systems State feedback Closed loop system modeling Composition matrixes Linearized dynamics Local stabilizations Lotka Volterra systems LQ control Lyapunov stability Nonlinear system modeling

来源：评论

学校读者我要写书评

暂无评论

Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM_2·5 air pollution, 1990–2019: an analysis of data from the Global Burden of Disease Study 2019

引用

The Lancet Planetary Health 2022年第7期6卷 e586-e600页

作者： Burkart, Katrin Causey, Kate Cohen, Aaron J Wozniak, Sarah S Salvi, Devashri Digvijay Abbafati, Cristiana Adekanmbi, Victor Adsuar, Jose C Ahmadi, Keivan Alahdab, Fares Al-Aly, Ziyad Alipour, Vahid Alvis-Guzman, Nelson Amegah, Adeladza Kofi Andrei, Catalina Liliana Andrei, Tudorel Ansari, Fereshteh Arabloo, Jalal Aremu, Olatunde Aripov, Timur Babaee, Ebrahim Banach, MacIej Barnett, Anthony Bärnighausen, Till Winfried Bedi, Neeraj Behzadifar, Masoud Béjot, Yannick Bennett, Derrick A Bensenor, Isabela M Bernstein, Robert S Bhattacharyya, Krittika Bijani, Ali Biondi, Antonio Bohlouli, Somayeh Breitner, Susanne Brenner, Hermann Butt, Zahid A Cámera, Luis Alberto Cantu-Brito, Carlos Carvalho, Felix Cerin, Ester Chattu, Vijay Kumar Chauhan, Bal Govind Choi, Jee-Young Jasmine Chu, Dinh-Toi Dai, Xiaochen Dandona, Lalit Dandona, Rakhi Daryani, Ahmad Davletov, Kairat De Courten, Barbora Demeke, Feleke Mekonnen Denova-Gutiérrez, Edgar Dharmaratne, Samath Dhamminda Dhimal, Meghnath Diaz, Daniel Djalalinia, Shirin Duncan, Bruce B El Sayed Zaki, Maysaa Eskandarieh, Sharareh Fareed, Mohammad Farzadfar, Farshad Fattahi, Nazir Fazlzadeh, Mehdi Fernandes, Eduarda Filip, Irina Fischer, Florian Foigt, Nataliya A Freitas, Marisa Ghashghaee, Ahmad Gill, Paramjit Singh Ginawi, Ibrahim Abdelmageed Gopalani, Sameer Vali Guo, Yuming Gupta, Rajat Das Habtewold, Tesfa Dejenie Hamadeh, Randah R Hamidi, Samer Hankey, Graeme J Hasanpoor, Edris Hassen, Hamid Yimam Hay, Simon I Heibati, Behzad Hole, Michael K Hossain, Naznin Househ, Mowafa Irvani, Seyed Sina Naghibi Jaafari, Jalil Jakovljevic, Mihajlo Jha, Ravi Prakash Jonas, Jost B Jozwiak, Jacek Jerzy Kasaeian, Amir Kaydi, Neda Khader, Yousef Saleh Khafaie, Morteza Abdullatif Khan, Ejaz Ahmad Khan, Junaid Khan, Md Nuruzzaman Khatab, Khaled Khater, Amir M Kim, Yun Jin Kimokoti, Ruth W Kisa, Adnan Kivimäki, Mika Knibbs, Luke D Kosen, Soewarta Koul, Parvaiz A Koyanagi, Ai Defo, Barthelemy Kuate Kugbey, Nuworza Lauriola, Paolo Lee, Paul H Leili, Mostafa Lewycka, Sonia Li, Shanshan Lim, Lee-Ling Li Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Division of Plastic and Reconstructive Surgery University of Washington Seattle WA United States Research Insights and Innovation Seattle WA United States Health Effects Institute Boston MA United States School of Public Health Boston University Boston MA United States Department of Juridical and Economic Studies La Sapienza University Rome Italy Department of Population Medicine Cardiff University Cardiff United Kingdom Sport Science Department University of Extremadura Badajoz Spain School of Public Health Imperial College London London United Kingdom Department of Primary Care and Public Health Imperial College London London United Kingdom Mayo Evidence-based Practice Center Mayo Clinic Foundation for Medical Education and Research Rochester MN United States John T. Milliken Department of Internal Medicine Washington University in St. Louis St. Louis MO United States Clinical Epidemiology Center US Department of Veterans Affairs (VA) St Louis MO United States Health Management and Economics Research Center Iran University of Medical Sciences Tehran Iran Department of Health Economics Iran University of Medical Sciences Tehran Iran Preventive Medicine and Public Health Research Center Iran University of Medical Sciences Tehran Iran Pars Advanced and Minimally Invasive Medical Manners Research Center Iran University of Medical Sciences Tehran Iran Department of Community and Family Medicine Iran University of Medical Sciences Tehran Iran Research Group in Hospital Management and Health Policies Universidad de la Costa (University of the Coast) Barranquilla Colombia Research Group in Health Economics University of Cartagena Cartagena Colombia Department of Biomedical Science University of Cape Coast Cape Coast Ghana Cardiology Department Ca

Background: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM_2·5 originating from ambient and household air pollution. Methods: We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM_2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM_2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM_2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. Findings: In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM_2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68–4·83) deaths per 100 000 population and 167 (117–223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49–17·5) of deaths and 13·6% (9·73–17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22–9·53) of deaths and 5·92% (3·81–8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South Am

关键词：

来源：评论

学校读者我要写书评

暂无评论

Driving fatigue prediction with pre-event electroencephalography (EEG) via a recurrent fuzzy neural network

Driving fatigue prediction with pre-event electroencephalogr...

引用

2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016

作者： Liu, Yu-Ting Wu, Shang-Lin Chou, Kuang-Pen Lin, Yang-Yin Lu, Jie Zhang, Guangquan Lin, Wen-Chieh Lin, Chin-Teng Institute of Electrical Control Engineering Taiwan Brain Research Center Taiwan Institute of Computer Science and Engineering Taiwan Department of Computer Science National Chiao-Tung University Hsinchu Taiwan Taoyuan Taiwan Faculty of Engineering and Information Technology University of Technology Sydney Sydney Australia

ISBN: (纸本)9781509006250

We propose an electroencephalography (EEG) prediction system based on a recurrent fuzzy neural network (RFNN) architecture to assess drivers' fatigue degrees during a virtual-reality (VR) dynamic driving environment. Prediction of fatigue degrees is a crucial and arduous biomedical issue for driving safety, which has attracted growing attention of the research community in the recent past. Meanwhile, combined with the benefits of measuring EEG signals facilitates, many EEG-based brain-computer interfaces (BCIs) have been developed for use in real-Time mental assessment. In the literature, EEG signals are severely blended with stochastic noise;therefore, the performance of BCIs is constrained by low resolution in recognition tasks. For this rationale, independent component analysis (ICA) is usually used to find a source mapping from original data that has been blended with unrelated artificial noise. However, the mechanism of ICA cannot be used in real-Time BCI design. To overcome this bottleneck, the proposed system in this paper utilizes a recurrent self-evolving fuzzy neural work (RSEFNN) to increase memory capability for adaptive noise cancellation when assessing drivers' mental states during a car driving task. The experimental results without the use of ICA procedure indicate that the proposed RSEFNN model remains superior performance compared with the state-of-Thearts models. © 2016 IEEE.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

Dynamic modeling and simulation of a bicycle stabilized by LQR control

Dynamic modeling and simulation of a bicycle stabilized by L...

引用

International Conference on Methods and Models in Automation and robotics (MMAR)

作者： Adam Owczarkowski Dariusz Horla Piotr Kozierski Talar Sadalla Faculty of Electrical Engineering Institute of Control and Information Engineering Faculty of Computing Chair of Control and Systems Engineering Poznan University of Technology Poznan

In this paper, we present a new approach to mathematical modeling of the bicycle. It is based on the detailed nonlinear Whipple scientific description. We are focused on the state space representation which we use to solve the control law and we test the optimal linear quadratic control which finally gives satisfactory results. The article includes a several computer simulations of the single-track vehicle motion. We indicate when the bicycle is self-stable. The results are useful to make further research on the bicycle modelling.

关键词： Bicycles Mathematical model Computational modeling Computer simulation Wheels control systems

来源：评论

学校读者我要写书评

暂无评论

Engine Speed control Using Gain Scheduling Method

Engine Speed Control Using Gain Scheduling Method

引用

International Conference on Cybernetics and Informatics

作者： Jakub Osusky Vojtech Vesely Institute of Automotive Mechatronics Faculty of Electrical Engineering and Information Technology Slovak University of Technology Institute of Robotics and Cybernetics Faculty of Electrical Engineering and Information Technology Slovak University of Technology

ISBN: (纸本)9781509018352

this paper presents a gain scheduled controller design for SISO systems applied on laboratory engine. Presented frequency domain method is based on the M-delta structure of closed loop systems. The small gain theory is exploited to obtain the stability condition. The gain scheduling control is applied on laboratory engine with variable load and compared with classic robust control.

关键词： Gain scheduled control Robust control Small gain theorem Frequency domain

来源：评论

学校读者我要写书评

暂无评论

Robust Decentralized controller Design in Frequency Domain

Robust Decentralized Controller Design in Frequency Domain

引用

International Conference on Cybernetics and Informatics

ISBN: (纸本)9781509018352

The paper presents control system design based on robust decentralized control. controller design will be done in the frequency domain for nominal model with time delay. Robust condition ensuring stability also by delay change, based on M-delta structure is included in controller design. In controller design for multivariable systems equivalent subsystem method is used. For subsystems of equivalent model, frequency method ensuring desired phase margin and crossover frequency is applied. Design procedure is illustrated on example and compare conservativism by using of different characteristic functions.

关键词： Robust control Network control systems M-delta structure Phase margin

来源：评论

学校读者我要写书评

暂无评论

End-to-end throughput maximization for underlay multi-hop cognitive radio networks with rf energy harvesting

arXiv

引用

arXiv 2017年

作者： Xu, Chi Zheng, Meng Liang, Wei Yu, Haibin Liang, Ying-Chang State Key Laboratory of Robotics Key Laboratory of Networked Control Systems Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China State Key Laboratory of Robotics Key Laboratory of Networked Control Systems Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China School of Electrical and Information Engineering University of Sydney NSW2006 Australia University of Electronic Science and Technology of China Chengdu611731 China

This paper studies a green paradigm for the underlay coexistence of primary users (PUs) and secondary users (SUs) in energy harvesting cognitive radio networks (EH-CRNs), wherein battery-free SUs capture both the spectrum and the energy of PUs to enhance spectrum efficiency and green energy utilization. To lower the transmit powers of SUs, we employ multi-hop transmission with time division multiple access, by which SUs first harvest energy from the RF signals of PUs and then transmit data in the allocated time concurrently with PUs, all in the licensed spectrum. In this way, the available transmit energy of each SU mainly depends on the harvested energy before the turn to transmit, namely energy causality. Meanwhile, the transmit powers of SUs must be strictly controlled to protect PUs from harmful interference. Thus, subject to the energy causality constraint and the interference power constraint, we study the end-to-end throughput maximization problem for optimal time and power allocation. To solve this nonconvex problem, we first equivalently transform it into a convex optimization problem and then propose the joint optimal time and power allocation (JOTPA) algorithm that iteratively solves a series of feasibility problems until convergence. Extensive simulations evaluate the performance of EH-CRNs with JOTPA in three typical deployment scenarios and validate the superiority of JOTPA by making comparisons with two other resource allocation algorithms. Copyright © 2017, The Authors. All rights reserved.

关键词： Cognitive radio

来源：评论

学校读者我要写书评

暂无评论

Hybrid single node genetic programming for symbolic regression 7

Hybrid single node genetic programming for symbolic regressi...

引用

7th International Joint Conference on Computational Intelligence, IJCCI 2015

作者： Kubalìk, Jiřì Alibekov, Eduard Žegklitz, Jan Babuška, Robert Czech Institute of Informatics Robotics and Cybernetics CTU in Prague Prague Czech Republic Department of Cybernetics Faculty of Electrical Engineering CTU in Prague Prague Czech Republic Delft Center for Systems and Control Delft University of Technology Delft Netherlands

ISBN: (纸本)9783662535240

This paper presents a first step of our research on designing an effective and efficient GP-based method for symbolic regression. First, we propose three extensions of the standard Single Node GP, namely (1) a selection strategy for choosing nodes to be mutated based on depth and performance of the nodes, (2) operators for placing a compact version of the best-performing graph to the beginning and to the end of the population, respectively, and (3) a local search strategy with multiple mutations applied in each iteration. All the proposed modifications have been experimentally evaluated on five symbolic regression benchmarks and compared with standard GP and SNGP. The achieved results are promising showing the potential of the proposed modifications to improve the performance of the SNGP algorithm. We then propose two variants of hybrid SNGP utilizing a linear regression technique, LASSO, to improve its performance. The proposed algorithms have been compared to the state-of-the-art symbolic regression methods that also make use of the linear regression techniques on four real-world benchmarks. The results show the hybrid SNGP algorithms are at least competitive with or better than the compared methods. © Springer-Verlag Berlin Heidelberg 2016.

关键词： Genetic programming

来源：评论

学校读者我要写书评

暂无评论

Stability analysis and tracking performance of fractional-order PI controller for a second-order oscillatory system with time-delay

Stability analysis and tracking performance of fractional-or...

引用

International Conference on Methods and Models in Automation and robotics (MMAR)

作者： Talar Sadalla Dariusz Horla Wojciech Giernacki Piotr Kozierski Faculty of Electrical Engineering Institute of Control and Information Engineering Piotrowo Poznan Faculty of Computing Poznan University of Technology Piotrowo Poznan

The main aim of this paper is to present the analysis of stability regions and tracking performance for the closed-loop system with second-order plant with time-delay and continuous fractional-order PI controller. It is a trial to extend the results and methodology presented in [11] to non-integer order systems. The tracking performance is based on two quality indices IAE and ISE. The tuning method of fractional PI controller is with respect to Hermite-Biehler and Pontryagin Theorems.

关键词： Stability criteria Mathematical model Closed loop systems Tuning Analytical models

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：