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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301-310 订阅

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A Novel Scheme for Fault Detection Using data-driven Gap Metric Technique

A Novel Scheme for Fault Detection Using Data-Driven Gap Met...

引用

data driven control and learning systems (ddcls)

作者： Ruijie Liu Ying Yang Zhengen Zhao Jing Zhou State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering Science Peking University Beijing P. R. China

ISBN: (纸本)9781538626191

this paper considers the fault detection problem for uncertain linear time-invariant systems. Based on the data-driven computational method for the gap metric, a fault detection scheme is designed by monitoring the gap metric between the running process and its nominal system with the direct use of offline and online data. Moreover, an alternative iterative realization of the stable image representation is proposed, based on which the gap metric is obtained and the fault detection is conducted with less calculation efforts. In addition, owing to the physical properties behind the gap metric, reliability analysis for systems with multiplicative faults is addressed. the numerical simulation examples are presented to demonstrate the effectiveness of the fault detection scheme.

关键词： Measurement Fault detection Reliability Linear systems Computational modeling Uncertainty data models

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A Model-free control Strategy for Battery Energy Storage with an Application to Power Accommodation

A Model-free Control Strategy for Battery Energy Storage wit...

引用

data driven control and learning systems (ddcls)

作者： Yujin Hong Dezhi Xu Wenxu Yan Weilin Yang School of Internet of Things Engineering Jiangnan University Wuxi Jiangsu Province China

ISBN: (纸本)9781538626191

Modeling of battery energy storage applied in photovoltaic (PV) grid-connected system with its power accommodation via advanced controllers is a challenging task since complex features and adjustment difficulties. For the sake of it, a model-free control strategy with intelligent proportional-integral controller and tracking differentiator has been put forward. the design approach of the proposed model-free controller has also been represented in detail and applied in power accommodation. Simulations on a battery energy storage system and comparisons with traditional PI controllers are reported. Compared with PI controller, the proposed strategy has achieved the perfect control performance.

关键词： Batteries Mathematical model PI control Tuning Power generation

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Saturated D-type ILC for Multicopter Trajectory Tracking Based on Additive State Decomposition

Saturated D-type ILC for Multicopter Trajectory Tracking Bas...

引用

data driven control and learning systems (ddcls)

作者： Chenxu Ke Jinrui Ren Quan Quan School of Automation Science and Electrical Engineering Beihang University Beijing P. R. China

ISBN: (纸本)9781538626191

In this paper, a saturated D-type iterative learning control (ILC) method is proposed for multicopter trajectory tracking based on the additive state decomposition (ASD) method. By using the ASD method, the multicopter nonlinear horizontal channel with input saturation is divided into a linear primary system and a nonlinear secondary system. the ILC method for linear systems can be used directly in the linear primary system to track desired trajectories. A state feedback is applied to stabilize the nonlinear secondary system. then, the above two controllers are combined to achieve the control goal. Simulation results demonstrate the feasibility of the proposed method for the multicopter trajectory tracking problem with input saturation and other nonlinearities.

关键词： Convergence Trajectory tracking Linear systems Channel models Nonlinear systems State feedback

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LQR-Based Optimal Tracking Fault Tolerant control for a Helicopter with Actuator Faults

LQR-Based Optimal Tracking Fault Tolerant Control for a Heli...

引用

data driven control and learning systems (ddcls)

作者： Kun Yan Qingxian Wu Mou Chen College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing P. R. China

ISBN: (纸本)9781538626191

this study develops an optimal tracking fault tolerant control (FTC) scheme for a helicopter with actuator faults, which integrates the FTC, tracking control and optimal control in one unified framework. the unknown continuous function which is composed of actuator faults is handled using the disturbance observer technology. the trajectory tracking problem is transformed into an optimal control problem and the optimal FTC law is presented to ensure the tracking errors convergence based on the linear quadratic regulator (LQR) control technology. Simulation results obtained show that the proposed optimal tracking fault tolerant controller is effective and useful.

关键词： Helicopters Actuators Optimal control Mathematical model Disturbance observers Fault tolerant control

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Application of ADRC in Stability control of Tank Gun System

Application of ADRC in Stability Control of Tank Gun System

引用

ieee data driven control and learning systems conference

作者： Yang Lei Jing Xu Qiang Hao China North Vehicle Research Institute Beijing 100072 China

ISBN: (纸本)9781538626191

Overcoming the disturbance of vehicle body is an important function of the tank gun control system. therefore, the tank artillery can be stabilized to a given angle in space. However, due to the change of load factors such as inertia, friction and clearance, the stability precision of the gun control system cannot be further improved, and hitting probability will drop under the condition of tank high speed maneuverability. In this paper, the tank gun control system and the disturbance model were analyzed, and the active disturbance rejection controller was designed. the control performance of this active disturbance rejection controller was verified by MATLAB simulation and the experiments of analog prototype. the results showed that the application of the ADRC is more effective than the traditional PID controller in improving the stability precision of gun control system.

关键词： Active disturbance rejection control (ADRC) Tank gun control system Stable control Stability precision

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Iterative learning control for Linear Continuous-time systems with Vector Relative Degree under Varying Trail Length

Iterative Learning Control for Linear Continuous-time System...

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data driven control and learning systems (ddcls)

作者： Yun-Shan Wei Chao-Lun Wang School of Mechanical and Electric Engineering Guangzhou University Guangzhou China School of Electronics and Information Technology Sun Yat-sen University Guangzhou China

ISBN: (纸本)9781538626191

this note considers the problem of iterative learning control (ILC) for a class of linear continuous-time multiple-input multiple-output (MIMO) systems with vector relative degree, where the trail length of control input is different from that of system state and output for a specific iteration. An iteration-average operator is included in the proposed ILC law to address the varying trail lengths. the proposed ILC algorithm allows that the control input length is iteration-varying during the ILC process, and can achieve desired trajectory tracking at control time interval. A numerical example is carried out to illustrate the effectiveness of the proposed ILC scheme.

关键词： continuous time systems control system synthesis discrete time systems iterative methods learning systems linear systems MIMO systems nonlinear control systems uncertain systems Continuous time systems iterative methods multiple input multiple output systems discrete time systems learning systems control system synthesis Nonlinear control systems uncertain systems Linear system International Labour conference trail control input Iterative learning control

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A Method of the Non-Fragile controller based on LMI

A Method of the Non-Fragile Controller based on LMI

引用

data driven control and learning systems (ddcls)

作者： Hui Fang Quancheng Cheng Chengyuan Sun College of Engineering Bohai University Jinzhou China Liaoning Mechatronics College Dandong China

ISBN: (纸本)9781538626191

For the satellite system with two solar panels, a non-fragile controller design method based on linear matrix inequality (LMI) is presented in this paper. the controller design method based on observer is adopted, and the design of the observer and controller contains a linear fractional uncertainty disturbance, i.e., non-fragile control problem. the existence condition of the controller based on the observer is given in the form of linear matrix inequality, by using the effective matrix inequality transform technique and the Lyapunov function method. In the case of uncertainty perturbation, the design of the controller can guarantee the stability of the system. Finally, the effectiveness of the proposed method is verified by Matlab software.

关键词： Linear matrix inequalities Observers Satellites Solar panels control systems Design methodology Uncertainty

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Convergence Performance of Discrete Power Attracting Law

Convergence Performance of Discrete Power Attracting Law

引用

ieee data driven control and learning systems conference

作者： Lingwei Wu Mingxuan Sun Guang Chen College of Physics and Electronic Engineering Taizhou University Taizhou 317000 China College of Information Engineering Zhejiang University of Technology Hangzhou 310023 China

ISBN: (纸本)9781538626191

this paper studies the tracking control of uncertain discrete-time systems, a discrete power attracting law is presented for designing the controller. the system has a faster convergence speed obviously and no chattering phenomenon. A measure of the order O(T~3) disturbance-rejection is embedded in the attracting law, so that the steady-state error (SSE) magnitude of the developed method is of the order O(T~3). In order to characterize the tracking performance, we derive the expressions for the range of the power monotone decreasing (PMD) region, the power absolute attractive (PAA) layer and SSE band. Computer simulation results are given to validate the effectiveness and superiority of the presented control method.

关键词： Discrete-Time systems Chattering-Free Attracting Law Disturbance Rejection

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Effective Cancer Classification based on Gene Expression data using Multidimensional Mutual Information and ELM

Effective Cancer Classification based on Gene Expression Dat...

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ieee data driven control and learning systems conference

作者： Qun-Xiong Zhu Yuan Fan Yan-Lin He Yuan Xu College of Information Science and Technology Beijing University of Chemical Technology Engineering Research Center of Intelligent PSE Ministry of Education of China

ISBN: (纸本)9781538626191

In the field of microarray data research, it is quite challenging to make classification due to small sample size and the high dimension of data. Moreover, the feature selection is crucial. In this paper, we propose multidimensional mutual information (MMI) feature selection method to select the most informative features for classification. After feature selection using the proposed MMI, Extreme learning Machine (ELM) is used as an efficient classifier. So as to evaluate the performance of the proposed methodology, a typical dataset called Leukemia is selected to carry out a case study. Simulation results demonstrate the effectiveness of the proposed method.

关键词： Gene expression data Feature selection Information gain Extreme machine learning Classification

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the Study of Traffic Flow Information Completion Based on GAN Algorithm

The Study of Traffic Flow Information Completion Based on GA...

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ieee data driven control and learning systems conference

作者： Min Li Li Wang Jiaqing Yan Haibo Zhang Lili Zhang Lingyu Zhang Beijing Key Lab of Urban Intelligent Traffic Control Technology North China University of Technology Beijing 100144 China

ISBN: (纸本)9781538626191

In urban road traffic, detectors often cause incomplete data and missing data as a result of inadequate coverage or equipment damage and other reasons. therefore, the data needs to be repaired to ensure data support for the traffic management service. this paper regards traffic flow data from section geomagnetic detectors as the object, processing graphically section flow information. And the missing data of network is predicted and complemented by the idea of generating network analysis images. this paper analyzes the influence of missing area size and loss at random of data on the accuracy of complete information. the results prove the feasibility and applicability of this method.

关键词： Information complement Traffic flow Visualization Generated antagonism network(GAN)

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