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检索条件"任意字段=8th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2019"

共 336 条记录，以下是161-170 订阅

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New integration-enhanced Newton algorithm for real-time tracking control of robot manipulators 8

New integration-enhanced Newton algorithm for real-time trac...

引用

8th ieee data driven control and learning systems conference, ddcls 2019

作者： Wei, Lin Jin, Long Zhang, Rui Xiao, Xiuchun Liu, Mei Yan, Jingwen Zhang, Jiliang School of Information Science and Engineering Lanzhou University Lanzhou730000 China National Key Laboratory of Electromagnetic Environment China Research Institute of Radiowave Propagation Qingdao266107 China College of Electronic and Information Engineering Guangdong Ocean University Zhanjiang524000 China University of Shantou Department of Electronic Engineering Shantou515000 China

ISBN: (纸本)9781728114545

It is of great significance to enhancing and maintaining accurate real-time output for tracking control which has been diffusely confronted in robotics. Note that, for most traditional algorithms, utilizing a neural controller for convergence and a filter for dealing with noises is a habitual method. However, there always exists interplay of the neural controller and filter that prevents these existing traditional algorithms from keeping stable when encountering tracking control problem, which results in large lagging errors. To this end, a novel integration-enhanced Newton (IN) algorithm aided with the superior integration control is proposed and inherently robust to a variety of noises, which is proved thoroughly by corresponding theoretical analyses and further employed to realize tracking control of robot manipulators successfully. © 2019 ieee.

关键词： controllers

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Observer-based data-driven Sliding Mode control for a Discrete-time Nonlinear Multiagent systems 12

Observer-based Data-driven Sliding Mode Control for a Discre...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Yin, Caiyun Lin, Guohuai Chen, Guangdeng Ma, Hui Li, Hongyi Guangdong Univ Technol Sch Automat Guangzhou 510006 Guangdong Peoples R China Guangdong Univ Technol Guangdong Prov Key Lab Intelligent Decis & Cooper Guangzhou 510006 Guangdong Peoples R China Guangdong Univ Technol Sch Math & Stat Guangzhou 510006 Peoples R China

ISBN: (纸本)9798350321050

In this work, an observer-based sliding mode control strategy is proposed for a discrete-time nonlinear multiagent systems (MASs) with unknown disturbance. Only some agents are capable of acquiring the reference trajectory, and the dynamic models of the agents are unknown. Unlike the traditional model-based consensus control protocol, this method is data-driven and solely dependent on the input/output (I/O) data of the agents. the stability of the proposed control strategy is ensured by theoretical analysis and the simulation outcomes ultimately validate the viability of the developed approach.

关键词： data-driven Multiagent systems Sliding mode control

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Active disturbance rejection control for a quadrotor UAV 9

Active disturbance rejection control for a quadrotor UAV

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9th ieee data driven control and learning systems conference (ddcls)

作者： Wang, Zhikai Huang, Deqing Huang, Tianpeng Qin, Na Southwest Jiaotong Univ Sch Elect Engn Chengdu 611756 Peoples R China

ISBN: (纸本)9781728159225

the design of robust tracking control for a quadrotor is an important and challenging problem nowadays. In the paper, an active disturbance rejection control (ADRC) technique is developed for attitude and altitude tracking of a quadrotor unmanned aerial vehicle (UAV) system subject to external disturbances. the nonlinear dynamics model of quadrotor is first obtained by Newton-Euler formula. then, the control law, consisting of tracking differentiator (TD), extended state observers (ESO) and state error feedback (SEF) is designed. Finally, numerical simulations and experimental tests are conducted to illustrate the effectiveness of the proposed control strategy

关键词： Quadrotor active disturbance rejection control disturbance experiment

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On the Cumulative Number of Confirmed Cases of 2019-nCoV which Based on data-driven Concepts 9

On the Cumulative Number of Confirmed Cases of 2019-nCoV whi...

引用

9th ieee data driven control and learning systems conference (ddcls)

作者： Wang, Xuan Yang, Zhihui Anhui Univ Finance & Econ Bengbu 233000 Peoples R China

ISBN: (纸本)9781728159225

On the basis of data-driven, this paper fitted two models of different states which according to the initial data of China's fight against COVID-19 epidemic. Depending on the stage of the outbreak, we applied the two models to predict the cumulative number of confirmed covid-19 cases in the United States and Italy in the early stages of the outbreak. In the early days of the outbreak, the number of confirmed cases in the United States is expected to reach 250000 to 300,000. And if the control measures are effective, there is a high probability that the number of confirmed diagnoses in Italy will not exceed 210,000. Unity can put the difficult away. We should believe that only when countries respect each other and strengthen cooperation can they finally defeat the epidemic.

关键词： data driven Philosophy 2019-nCoV Non-linear Fitting Logistic Function

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data driven control for a Class of Nonlinear systems with Stochastic Fading Channels 9

Data Driven Control for a Class of Nonlinear Systems with St...

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9th ieee data driven control and learning systems conference (ddcls)

作者： Yu, Wei Bu, Xuhui Yin, Yanling Liang, Jiaqi Henan Polytech Univ Sch Elect Engn Jiaozuo 454000 Henan Peoples R China

ISBN: (纸本)9781728159225

this paper investigates the data driven model free adaptive control (MFAC) problem for a class of non-affine nonlinear systems with stochastic fading channels. Firstly, the phenomenon of signal fading is regarded as an independent stochastic process occurring at the output side, which has known mathematical expectations. Using an innovative linearization method, the considered non-affine system is converted into a linear model with a time-varying parameter called PPD and the MFAC controller is redesigned by utilizing the faded outputs. the stability of the system is analyzed rigorously and the influence of incomplete signal transmission on system convergence is explored. Finally, a numerical example shows the validity of the presented strategies.

关键词： data driven model free adaptive control fading channels stability analysis

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Adaptive learning control with Extended Bandwidth for Synchronization Motion Stages 12

Adaptive Learning Control with Extended Bandwidth for Synchr...

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ieee 12th data driven control and learning systems conference (ddcls)

作者： Sun, Pengyu Song, Fazhi Chen, Shuaiqi Liu, Yang Harbin Inst Technol Ctr Ultraprecis Optoelect Instrument Engn Harbin Peoples R China Harbin Inst Technol Minist Ind & Informat Technol Key Lab Ultraprecis Intelligent Instrumentat Harbin Peoples R China Harbin Inst Technol Sch Astronaut Harbin Peoples R China

ISBN: (纸本)9798350321050

this paper proposes a novel method to improve synchronization precision and reduce the influence of stochastic noises in lithography motion stages. Specifically, the multiple-channel adaption-learning-function synchronization iterative learning control (MASILC) method we give uses a multiple-channel approach based on A-type of ILC, with adaptive parameters to address the divergence situation caused by stochastic noises in different channels. We verify the superiority of the MASILC method and analyze its stability and convergence performance in theory. Furthermore, we introduce an effective adaptive method inspired by the stochastic acceleration optimization method. Simulation comparisons with analogous approaches demonstrate the effectiveness and superiority of the proposed method in various circumstances.

关键词： iterative learning control (ILC) lithography motion systems synchronization control multiple-channel method adaptive parameters

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Co-occurrence Mining of "data driven control", "model free adaptive control" and "iterative learning control" in Chinese Dissertation data 9

Co-occurrence Mining of "data driven control", "model free a...

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9th ieee data driven control and learning systems conference (ddcls)

作者： Liu, Xiangpeng Ai, Yang Guo, Lantian Chi, Ronghu Qingdao Univ Sci & Technol Sch Math & Phys Qingdao 266061 Peoples R China Qingdao Univ Sci & Technol Sch Automat & Elect Engn Qingdao 266061 Peoples R China

ISBN: (纸本)9781728159225

this paper focuses on the master and doctoral dissertations on "data-driven control", "model-free adaptive control" and "iterative learning control" collected by Chinese National Knowledge Infrastructure (CNKI) database before October 31, 2019. Exploiting big data technology, three topics mentioned above are studied in the form of mapping knowledge graph by Python, ROSTCM and Ucinet social network analysis software. Our research mainly explores and analyzes the temporal evolution as well as development status of the subject words, the cultivation organizations, the fund support, the co-occurrence of key words, the co-occurrence of dissertations topics and the characteristics of supervisor -student relationship, etc., which can provide references for relevant research fields.

关键词： big data the co-occurrence mining knowledge graph CNKI

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Convergence analysis of ILC process for networked system with system noise 9

Convergence analysis of ILC process for networked system wit...

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9th ieee data driven control and learning systems conference (ddcls)

作者： Liu, Jian Ruan, Xiaoe Zhang, Yamiao Xidian Univ Sch Mechanoelect Engn Ctr Complex Syst Xian Peoples R China Xi An Jiao Tong Univ Sch Math & Stat Dept Appl Math Xian Peoples R China Xian Univ Posts & Telecommun Sch Sci Xian Peoples R China

ISBN: (纸本)9781728159225

the paper is devoted to the convergence analysis of iterative learning control process for discrete-time networked system, where the system dynamics are assumed to be unknown. We use the iterative learning scheme developed in [2, 12] to obtain the required system information. By using lambda-norm technique, we demonstrate the effect of system noise on the learning process for networked system. the results show that the tracking performance is highly dependent on the statistical characteristics of system noise, independent of output packet loss rate and decreases as the input packet loss rate increases. In addition, a numerical example is presented to show the findings.

关键词： networked iterative learning control convergence unknown input-output coupling parameter linear system

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learning rule with fractional-order average momentum based on Tustin generating function for convolution neural networks 9

Learning rule with fractional-order average momentum based o...

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9th ieee data driven control and learning systems conference (ddcls)

作者： Jian, Jing Gao, Zhe Kan, Tao Liaoning Univ Sch Math Shenyang 110036 Peoples R China Liaoning Univ Coll Light Ind Shenyang 110036 Peoples R China

ISBN: (纸本)9781728159225

In this paper, we propose a fractional-order average momentum (FOAM) method based on Tustin generating function to train parameters in convolution neural networks. Taking the classical data set MNIST as the training and testing data, the effectiveness of the FOAM for CNNs is verified. the experimental results show that the stochastic gradient descent method based on FOAM can improve the recognition accuracy and learning convergence speed of convolution neural networks.

关键词： Convolutional neural networks fractional-order average momentum parameter updating stochastic gradient descent method

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Real-time Reachable Set Estimation for Markov Jump systems with Time-varying Delay 10

Real-time Reachable Set Estimation for Markov Jump Systems w...

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10th ieee data driven control and learning systems conference, ddcls 2021

作者： Zhang, Liang Cao, Yuning Feng, Zhiguang College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin150001 China College of Control Science and Engineering Bohai University Jinzhou121013 China

ISBN: (纸本)9781665424233

the problem of real-time reachable set estimation (RSE) for a class of Markov jump systems is studied in this paper. A method is proposed for estimating real-time reachable set of the Markov jump systems with known inputs, bounded disturbances and non-zero initial conditions. By utilizing the linear matrix inequalities (LMIs) and the Lyapunov stability theory, sufficient conditions for estimating the real-time reachable set of Markov jump systems are given, and the reachable set of the resulting systems is mean-square (M-S) bounded by the prescribed ellipsoid. the validity of the theoretical analysis is verified by numerical simulation. © 2021 ieee.

关键词： Linear matrix inequalities

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