检索结果-内蒙古大学图书馆

International Conference on Control, automation and systems ( ICCAS)

作者： Zhenlong Wu Fan Zhang Gengjin Shi Ting He Donghai Li YangQuan Chen State Key Lab of Power Systems Tsinghua University Beijing PR China Mechatronics Embedded Systems and Automation (MESA) Lab School of Engineering University of California Merced CA USA

Superheated steam temperature (SST) systems face many control difficulties caused by unknown disturbances and high order dynamics. This is becoming more and more severe due to the rapid growing of intermittent renewable generation. To improve the tracking and disturbance rejection performance of SST systems, a modified active disturbance rejection control (ADRC) is proposed. Based on its equivalent structure, this paper develops the frequency-domain analysis of the modified ADRC to present the influence of parameters on the control performance. Then the modified ADRC based on the frequency-domain analysis is applied to the SST control to verify the superiority of the modified ADRC. Based on the results of the simulation and the field application on a power plant simulator, the modified ADRC can obtain the best tracking performance with a small overshoot and short settling time compared with other comparative controllers. Besides, the modified ADRC has the smallest fluctuation range of SST under the input disturbance and load varying conditions. The superiority of the modified ADRC ensures the satisfactory control performance and shows a great potential in industrial applications.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Fractional order [PI] Controller and Smith-like Predictor Design for A Class of High Order systems

Fractional order [PI] Controller and Smith-like Predictor De...

引用

第30届中国过程控制会议（CPCC 2019）

作者： Zhenlong Wu Jie Yuan Yuquan Chen Donghai Li YangQuan Chen State Key Lab of Power Systems Department of Energy and Power Engineering Tsinghua University School of Automation Southeast University Department of Automation University of Science and Technology of China Mechatronics Embedded Systems and Automation(MESA)Lab School of Engineering University of California

To handle the control difficulties caused by high-order dynamics, a control structure based on fractional order [proportional integral]（PI） controller and fractional order Smith-like predictor for a class of high order systems in the type of K/（Ts+1）~n is proposed in this *** tracking performance and disturbance rejection ability are analyzed based on the terminal value *** shows that the system output can converge to the set point without static error when set point changes and input disturbance *** on the multi-objective genetic algorithm（MO-GA）, simulations under different χ are carried out to analyze the influence on control performance and control *** results show that the control performance can be improved and the energy of the control signal can be reduced simultaneously when the order χ is chosen no more than *** can verify that the fractional order Smith-like predictor with χ<1 has an advantage over the integral order Smith-like predictor with χ=1.

关键词： Fractional order [PI] Controller fractional order Smith-like predictor high order systems multi-objective genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

Regional detection of unknown sources for the sub-diffusion process

Regional detection of unknown sources for the sub-diffusion ...

引用

American Control Conference

作者： Fudong Ge Yang Quan Chen Chunhai Kou School of Computer Science China University of Geosciences Mechatronics Embedded Systems and Automation Lab University of California Merced Department of Applied Mathematics Donghua University

ISBN: (纸本)9781509045839

In this paper, we shall discuss the problem of regional detection of unknown source in a sub-diffusion process. The notions of sources, detection and regional strategic/spy sensors are introduced and the relationships between regional spy sensors and regional strategic sensors in a sub-diffusion process are explored. Moreover, we show, using an extension of the Hilbert Uniqueness Methods approach, how to reconstruct a regionally detectable source for the time fractional diffusion system based on the output functions. An example is given in the end to confirm our results.

关键词： Regional detection Sources Sensors Sub-diffusion process Time fractional diffusion systems Sensors Diffusion processes Regional Unknown

来源：评论

学校读者我要写书评

暂无评论

Construction of chaotic sensing matrix for fractional bandlimited signal associated by fractional fourier transform

Construction of chaotic sensing matrix for fractional bandli...

引用

International Automatic Testing Conference, AUTOTESTCON

作者： Haoran Zhao Liyan Qiao Libao Deng YangQuan Chen Department of Automatic Test and Control Harbin Institute of Technology Harbin Institute of Technology Weihai Mechatronics Embedded Systems and Automation Lab University of California Merced

Fractional Fourier transform (FrFT) is a powerful tool for the non-stationary signals because of its additional degree of freedom in the time-frequency plane. Due to the importance of the FrFT in signal processing, most of the bandlimited sampling theorems in traditional frequency domain have been extended to fractional Fourier bandlimited signals based on the relationship between the FrFT and regular integer order Fourier transform (FT). However, the implementations of those existing extensions are not efficient because of the high sampling rate which is related to the maximum fractional Fourier frequency of the signal. Compressed Sensing (CS) is a useful tool to collect information directly which reduces sampling pressure, computational load as well as saving the storage space. The construction of sensing matrix is the basic issue. Most of CS demand that the sensing matrix is constructed by random under-sampling which is uncontrollable and hard to be realized by hardware. This paper proposes a deterministic construction of sensing matrix for the multiband signals in the fractional Fourier domain (FrFD). We give the sparse basis of the signal and derive the sensing matrix based on the analog to information conversion technology. The sensing matrix is constructed by random sign matrix and Toeplitzed matrix. The sub-sampling method is used to obtain the structural signal. Theoretically, the matrix satisfies the incoherent condition and the entire structure of system is practical. We show in this paper that the sampling rate is much lower than the Nyquist rate. The signal reconstruction is studied based on the framework of compressed sensing. The performance of the proposed sampling method is verified by the simulation. The probability of the successful reconstruction and the mean squared error (MSE) are both analyzed. The numerical results suggest that proposed system is effective for a spectrum-blind sparse multiband signal in the FrFD and demonstrate its promising

关键词： Sparse matrices Sensors Fourier transforms Compressed sensing Matrix converters Electronic mail Radar imaging

来源：评论

学校读者我要写书评

暂无评论

Fractional-order VRFT Reference Model and Controller Synthesis for Uniformity Temperature Control Applications

引用

IFAC-PapersOnLine 2024年第12期58卷 341-346页

作者： Juan Gabriel Araque Luis Angel Jairo Viola YangQuan Chen Dept. of Electronic Engineering Pontifical Bolivarian University Bucaramanga Colombia Mechatronics Embedded Systems and Automation (MESA) Lab Dept. of Mechanical Engineering University of California Merced CA 95343 USA

Data-driven controller synthesis methods allow finding controller parameters based only on the system input-output response. Among these methods, Virtual Reference Feedback Tuning (VRFT) is accepted thanks to its reference-model based direct parameters synthesis, including robustness and noise rejection considerations for integer and fractional-order controller design. However, for fractional-order VRFT controller synthesis, a direct solution is harder to reach involving a complex optimization problem to solve. This paper presents a recursive VRFT method for synthesizing arbitrary degree fractional-order controllers with feedforward based on a integer or fractional-order reference model. This methodology leverages existing optimization tools for fractional-order systems identification to obtain integer and fractional-order controller gains when integer and fractional-order reference models are used for the virtual error computation. The proposed method synthesizes a set of feedforward VRFT controllers implemented to control a uniform temperature control system. The results show that combining a fractional-order model or compensator improves the energy consumption of the controller and the transient temperature response in tracking and regulation tasks.

关键词： Feedforward VRFT Uniformity Temperature Control Fractional-Order VRFT Controller

来源：评论

学校读者我要写书评

暂无评论

Identification of Linear Fractional Order systems Using the Relay Feedback Approach

Identification of Linear Fractional Order Systems Using the ...

引用

American Control Conference

作者： Zhuo Li YangQuan Chen Mechatronics Embedded Systems and Automation (MESA) Lab School of Engineering University of California Merced 5200 North Lake Road Merced CA 95343 USA

ISBN: (纸本)9781479932757

The relay feedback approach has been used to identify integer order models. Fractional order systems are usually identified by many other approaches. Yet, using the relay feedback to identify a fractional order system has not been reported. This paper investigates this interesting and useful topic by means of extending the relay feedback identification method from integer order systems to a class of linear fractional order systems. Equations are derived for model parameter calculation. Simulation and experiments are presented to verify the feasibility and effectiveness of the proposed approach.

关键词： Instruction repertory Relay feedback fractional order

来源：评论

学校读者我要写书评

暂无评论

RLIM: A Recursive and Latent Infection Model for COVID-19 Prediction and Turning Point in United States

Research Square

引用

Research Square 2021年

作者： Yu, Xiang Lu, Lihua Shen, Jianyi Li, Jiandun Xiao, Wei Chen, Yangquan School of Electronics and Information Shanghai Dianji University Shanghai201306 China Mechatronics Embedded Systems and Automation Lab University of California MercedCA United States

Initially found at Hubei, Wuhan and identified as a novel virus of coronavirus family by WHO, COVID-19 has spread worldwide with an exponentially speed, causing millions of death and public fear. Currently, COVID-19 has brought a secondary wave within U.S., India, Brazil and other parts of the world. However, its transmission, incubation, and recovery processes are still unclear from the medical, mathematical and pharmaceutical aspects. Classical Suspect-Infection-Recovery model has limitations to describe the dynamic behavior of COVID-19. Hence, it becomes necessary to introduce a recursive, latent model to predict the number of future COVID-19 infected cases in U.S. In this article, a dynamic model called RLIM based on classical SEIR model is proposed to predict the number of COVID-19 infections with a dynamic secondary infection rate ω in assumption. An intermediate state called SI is introduced between recovery and infection statues to record the number of secondary infected cases from a latent period of recovery. Compared with other models, RLIM fits historical recovery cases and utilizes them to predict future infections. Because RLIM utilizes multiple information sources, and provides error back propagation schematics, it is reasonable to assert that its predictions are more accurate and persuasive. Projections of four U.S. COVID-19 states show that with the secondary infectious rate ω varies from 0.01 to 0.3 within a latent period of 14 days chosen, RLIM can predict the newly infected number from January 15 to February 15, 2021 with AFER lower to 14%. It also successfully estimates the turning point of New Yorks infections in January 2021, based on current data records. © 2021, CC BY.

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

A fractional-order SEIHDR model for COVID-19 with inter-city networked coupling effects

arXiv

引用

arXiv 2020年

作者： Lu, Zhenzhen Yu, Yongguang Chen, YangQuan Ren, Guojian Xu, Conghui Wang, Shuhui Yin, Zhe Department of Mathematics Beijing Jiaotong University Beijing100044 China Mechatronics Embedded Systems and Automation Lab University of California MercedCA95343 United States

A novel coronavirus, designated as COVID-19, emerged in Wuhan, China, at the end of 2019. In this paper, a mathematical model is proposed to analyze the dynamic behavior of COVID-19. Based on inter-city networked coupling effects, a fractional-order SEIHDR system with the real-data from 23 January to 18 March, 2020 of COVID-19 is discussed. Meanwhile, hospitalized individuals and the mortality rates of three types of individuals (exposed, infected and hospitalized) are firstly taken into account in the proposed model. And infectivity of individuals during incubation is also considered in this paper. By applying least squares method and predictor-correctors scheme, the numerical solutions of the proposed system in the absence of the inter-city network and with the inter-city network are stimulated by using the real-data from 23 January to 18 − m March, 2020 where m is equal to the number of prediction days. Compared with integer-order system (α = 0), the fractional-order model without network is validated to have a better fitting of the data on Beijing, Shanghai, Wuhan, Huanggang and other cities. In contrast to the case without network, the results indicate that the inter-city network system may be not a significant case to virus spreading for China because of the lock down and quarantine measures, however, it may have an impact on cities that have not adopted city closure. Meanwhile, the proposed model better fits the data from 24 February to 31, March in Italy, and the peak number of confirmed people is also predicted by this fraction-order model. Furthermore, the existence and uniqueness of a bounded solution under the initial condition are considered in the proposed system. Afterwards, the basic reproduction number R0 is analyzed and it is found to hold a threshold: the disease-free equilibrium point is locally asymptotically stable when R0 ≤ 1, which provides a theoretical basis for whether COVID-19 will become a pandemic in the future. Copyright © 2020, The Au

关键词： Least squares approximations

来源：评论

学校读者我要写书评

暂无评论

3D Semantic Mapping: a Benchmark and Baseline Method

引用

IFAC-PapersOnLine 2021年第20期54卷 820-825页

作者： Guoxiang Zhang Peng Wang Ning Chen YangQuan Chen Mechatronics Embedded Systems and Automation (MESA) Lab University of California Merced Merced CA 95348 USA Department of Mechanical and Electronic Engineering Nanjing Forestry University Nanjing 210037 P.R. China

In this paper, a simple and effective real-time 3D semantic mapping method is proposed. The proposed method take per-frame bounding box detections and sensor (camera) extrinsic transformation estimates as inputs and produces a set of static 3D bounding boxes in world coordinate system as 3D semantic mapping results. Each object has a Kalman filter as its state estimator and intersection over union of 3D bounding boxes is used for data association. To evaluate the proposed method, a new benchmark is derived from the KITTI object tracking evaluation. Ground-truth semantic maps are constructed based on oxts data and labeled 3D bounding boxes of KITTI. Three novel semantic map-centered metrics: DAOD, AAOD, and PRVO are proposed. Experiments are conducted to evaluate the proposed method. Experiments show that the metric and benchmarking dataset can serve as a new benchmark platform for easier comparison of new methods.

关键词： semantic mapping 3D perception autonomous driving

来源：评论

学校读者我要写书评

暂无评论

Forecast analysis of the epidemics trend of COVID-19 in the United States by a generalized fractional-order SEIR model

arXiv

引用

arXiv 2020年

作者： Xu, Conghui Yu, Yongguang Chen, YangQuan Lu, Zhenzhen Department of Mathematics School of Science Beijing Jiaotong University Beijing100044 Mechatronics Embedded Systems and Automation Lab University of California MercedCA95343 United States

In this paper, a generalized fractional-order SEIR model is proposed, denoted by SEIQRP model, which has a basic guiding significance for the prediction of the possi-ble outbreak of infectious diseases like COVID-19 and other insect diseases in the future. Firstly, some qualitative proper-ties of the model are analyzed. The basic reproduction num-ber R0is derived. When R00> 1, the endemic equilibrium point is also unique. Fur-thermore,some conditions are established to ensure the local asymptotic stability of disease-free and endemic equilibrium points. The trend of COVID-19 spread in the United States is predicted. Considering the influence of the individual be-havior and government mitigation measurement, a modified SEIQRP model is proposed, defined as SEIQRPD model. According to the real data of the United States, it is found that our improved model has a better prediction ability for the epidemic trend in the next two weeks. Hence, the epi-demic trend of the United States in the next two weeks is in-vestigated, and the peak of isolated cases are predicted. The modified SEIQRP model successfully capture the development process of COVID-19, which provides an important reference for understanding the trend of the outbreak. Copyright © 2020, The Authors. All rights reserved.

关键词： Forecasting

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：