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检索条件"任意字段=7th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2018"

共 474 条记录，以下是311-320 订阅

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Robust H∞ Stability for Lurie Nonlinear Stochastic Network control systems with Time-Varying Delay

Robust H∞ Stability for Lurie Nonlinear Stochastic Network ...

引用

data driven control and learning systems (ddcls)

作者： Hongqian Lu Chaoqun Guo Yue Hu Xingping Liu Hongwei Chen School of Electrical Engineering and Automation Qilu University of Technology (Shandong Academy of Sciences) P. R. China Ji Nan Building Source Cement Products Co. LTD P. R. China

ISBN: (纸本)9781538626191

this paper researches the robust H∞ stochastic stability criterion of lurie nonlinear stochastic network control system containing time-varying delay. Common network control systems are feedback systems and more and more network control systems possess nonlinear and stochastic character. the parameter uncertainties are concerned directly to the network control system. this note employs the improved free weighting matrix (IFWM) method to analyze the lurie nonlinear stochastic network system's robust H∞ stochastic stability criterion. A numerical example is presented to demonstrate the suitability of the method put forward in this paper.

关键词： Networked control systems Delays Stability analysis Stochastic processes Time-varying systems Circuit stability

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A New Measure of Dynamic Similarity for Nonlinear systems based on Gap Metric and Deterministic learning theory

A New Measure of Dynamic Similarity for Nonlinear Systems ba...

引用

data driven control and learning systems (ddcls)

作者： Danfeng Chen Cong Wang Wenbo Zhu School of Automation Foshan University Foshan P. R. China School of Automation Science and Engineering South China University of Technology Guangzhou P. R. China

ISBN: (纸本)9781538626191

For nonlinear dynamical systems, structural stability is a fundamental concept. It provides a qualitative tool for analyzing the equivalent relation between a nonlinear dynamical system and its perturbed system. Currently, most researches about structural stability, including some applications in practical systems, are mainly limited to qualitative analysis. In this paper, our focus is on the quantitative property of structural stability. A new measure will be proposed from the perspective of structural stability and gap metric under the Deterministic learning theory, which provides more incentives for further applications in pattern recognition, classification as well as fault detection. Simulation studies are included to further demonstrate the effectiveness of this measure.

关键词： Structural engineering System dynamics Nonlinear dynamical systems Trajectory Measurement Radial basis function networks

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Time-Varying Lag Synchronization of Complex Dynamical Networks with Unknown Channel Time-Delay

Time-Varying Lag Synchronization of Complex Dynamical Networ...

引用

ieee data driven control and learning systems conference

作者： Wenjie Zhao Junmin Li Naizheng Shi Department of Applied Mathematics Xidian University Xi'an 710071 China Xi’an Modern Control Technology Research Institute Xi'an 710065 China

ISBN: (纸本)9781538626191

In this paper, time-varying lag synchronization is proposed. Lag time is not fixed but time-varying because the channel delay is usually time varying. Moreover, this channel delay is unknown in this paper. Suitable controller is needed to achieve the lag synchronization between two networks in which every node is a dynamical system, and channel delay between them is unknown and time-varying. Lyapunov function is key theorem to derive sufficient condition. We give one simulation example to show the theory is true and can be applied effectively.

关键词： Lag synchronization Complex networks Time-varying channel time-delay Adaptive control

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Structural Health Monitoring of Offshore Wind Turbine based on Online data-driven Support Vector Machine

Structural Health Monitoring of Offshore Wind Turbine based ...

引用

data driven control and learning systems (ddcls)

作者： Ao Zhang Ming Li Lin Zhou College of Engineering Ocean University of China Qing Dao China

ISBN: (纸本)9781538626191

the structural health monitoring (SHM) of the offshore wind turbine based on data-driven is supposed to extract the numeral characteristics and classify the health condition from the data stream acquired from sensors. Traditional classification method like support vector machine (SVM) and clustering method cannot process data stream directly. In this paper, according to the features of data stream, the SHM system is designed to improve the effects of clustering method, and the health condition is classified online by time-domain and frequency-domain SVM classifiers based on data stream. the experiments are performed with the measured data of the vibration detection of the offshore turbine structures to evaluate the system. the experiment results show that the SHM system proposed in this paper can process the online vibration detection data stream and classify the health condition.

关键词： Support vector machines Wind turbines Vibrations Training Acceleration Monitoring Frequency-domain analysis

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Feature Extraction and Classification of Hyperspectral Image Based on 3D-Convolution Neural Network

Feature Extraction and Classification of Hyperspectral Image...

引用

ieee data driven control and learning systems conference

作者： Xuefeng Liu Qiaoqiao Sun Yue Meng Congcong Wang Min Fu College of Automation & Electronic Engineering Qingdao University of Science and Technology College of Information Science & Engineering Ocean University of China

ISBN: (纸本)9781538626191

Deep learning has huge potential for hyperspectral image (HSI) classification. In order to fully exploit the information in HSI and improve the classification accuracy, a new classification method based on 3D-convolutional neural network (3D-CNN) is proposed. In the meantime, virtual samples are introduced to solve the problem of insufficient samples of HSI. the experimental results show that the proposed method has a good application prospect in HSI classification.

关键词： Deep learning Image classification Feature extraction Virtual samples Remote sensing image

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Overview of Image Segmentation and Its Application on Free Space Detection

Overview of Image Segmentation and Its Application on Free S...

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ieee data driven control and learning systems conference

作者： Xiaodong Zhao Qichao Zhang Dongbin Zhao Zhonghua Pang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences University of Chinese Academy of Sciences North China University of Technology

ISBN: (纸本)9781538626191

With the development of deep learning technique, image segmentation has received spreading attention in the computer vision field. It has a wide range of applications such as scene understanding, autonomous driving and so on. For the image segmentation, we can divide it into the semantic segmentation and instance segmentation, where a high-quality segmentation label for each instance is required for the latter method. In this paper, we sort out the popular structures of semantic segmentation and introduce the instance segmentation briefly. In the experiments, three main semantic segmentation methods are tested and analyzed based on the opened CamVid dataset, and the experiments for free space detection based on two popular segmentation methods are given.

关键词： Image segmentation Semantic segmentation Instance segmentation Free space detection

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Robust Repetitive learning control of Lower Limb Exoskeleton with Hybrid Electro-hydraulic System

Robust Repetitive Learning Control of Lower Limb Exoskeleton...

引用

ieee data driven control and learning systems conference

作者： Yong Yang Deqing Huang Xiucheng Dong School of Electrical Engineering and Electronic Information Xihua University Chengdu 610039 P. R. China Institute of Systems Science and Technology Southwest Jiaotong University Chengdu 610031 P. R. China

ISBN: (纸本)9781538626191

In this paper, robust repetitive learning control for lower limb exoskeleton, CASWELL-II, is addressed. A hybrid electro-hydraulic system which consists of unidirectional servo valve and magnetic valve is presented to driven the exoskeleton leg. First, a full state space model of CASWELL-II is worked out by combining both the rigid body and hybrid electro-hydraulic actuators dynamics. Secondly, a robust repetitive learning controller is presented to perform the periodic tracking task of the hybrid electro-hydraulic actuators via backstepping design, and the stability of the closed-loop system is proved by Lyapunov method. Finally, the controller is realized and tested on CASWELL-II by experiment.

关键词： CASWELL-II Lower limb exoskeleton Robust repetitive learning control Hybrid electro-hydraulic system

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Design and Analysis of Adaptive Iterative learning control for Iteration-varying Nonlinear systems

Design and Analysis of Adaptive Iterative Learning Control f...

引用

data driven control and learning systems (ddcls)

作者： Chiang-Ju Chien Ying-Chung Wang Feng-Li Lian Department of Electronic Engineering Huafan University New Taipei City Taiwan Department of Electrical Engineering National Taiwan University Taipei City Taiwan

ISBN: (纸本)9781538626191

Design of iterative learning controller for continuous-time nonlinear systems with iteration-varying uncertainties is studied in this paper. the iteration-varying uncertainties include initial resetting tracking error, iteration-varying external disturbance, iteration-varying desired trajectory and iteration-varying system parameters. the iteration-varying uncertainties are not required to take any special structure and the uncertain bounds are not necessarily small. All the iteration-varying uncertainties are compensated by an adaptive iterative learning controller with a projection-type adaptive law. We show that the system output can converge to the desired one as close as possible after suitable numbers of learning trials. Compared with the existing papers studying the similar problems, this approach can be used to solve the iterative learning control issue with more general class of nonlinear uncertain systems and achieve better learning performance.

关键词： Uncertainty Nonlinear systems Iterative learning control Trajectory Urban areas Electronic mail

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A Novel data-driven Filtering Algorithm for a Class of Discrete-Time Nonlinear systems

A Novel Data-Driven Filtering Algorithm for a Class of Discr...

引用

data driven control and learning systems (ddcls)

作者： Lingling Fan Zhongsheng Hou Rongmin Cao Honghai Ji School of Automation Beijing Information Science & Technology University Beijing China School of Electronics & Information Engineering Beijing Jiaotong University Beijing China College of Electronics & Control Engineering North China University of Technology Beijing China

ISBN: (纸本)9781538626191

data-driven filtering technique has immense potential and gained significant attention lately. this paper investigates a novel data-driven filtering algorithm based on a new dynamic linearization technique in the framework of Kalman Filter for a class of discrete-time nonlinear systems. Compared with the conventional nonlinear filtering algorithms, such as Extended Kalman Filter (EKF) or Unscented Kalman Filter (UKF), the proposed data-driven filtering (DDF) method can not only be applied for nonlinear systems without precise mathematical model or linearization approximation, but also be designed by merely utilizing the I/O measurement data of the plant. the theoretical analysis shows that the proposed approach guarantees uniform ultimate boundedness of the filtering errors. the comparison numerical simulation results verify the effectiveness of the proposed approach.

关键词： Kalman filters Power system dynamics Mathematical model Heuristic algorithms Nonlinear systems State estimation

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Fixed-Time Stabilization for Interconnected systems with Discontinuous Interconnections and Nonidentical Perturbations

Fixed-Time Stabilization for Interconnected Systems with Dis...

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data driven control and learning systems (ddcls)

作者： Nannan Rong Zhanshan Wang Huaguang Zhang College of Information Science and Engineering Northeastern University Shenyang P. R. China

ISBN: (纸本)9781538626191

this paper investigates the fixed-time stabilization issue for a class of nonlinear interconnected systems with discontinuous interconnections and nonidentical perturbations. Firstly, according to the differential inclusion theory, the solutions of such discontinuous interconnected system are defined in the sense of Filippov. In addition, an improved fixed-time lemma, in which the regional bound r can be freely chosen in [0, 1], is proposed to realize the fixed-time stabilization and estimate the settling time. then, through designing a state feedback controller and utilizing generalized Lyapunov functional method, sufficient criteria are derived to guarantee the fixed-time stabilization of the discontinuous interconnected system. Especially, the upper bound of the convergence time is estimated by a fixed time, which is independent of initial conditions. Finally, the proposed methodology and results are verified by an example.

关键词： Interconnected systems Convergence Perturbation methods Silicon State feedback Manganese

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