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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111-120 订阅

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False data injection attack design in multi-sensor systems based on kl divergence theory 8

False data injection attack design in multi-sensor systems b...

引用

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

作者： Ye, Dan Wang, Jiyan State Key Laboratory of Synthetical Automation of Process Industries Northeastern University Shenyang Liaoning110189 China College of Information Science and Engineering Northeastern University Shenyang Liaoning110189 China

ISBN: (纸本)9781728114545

In this paper, a security issue for Cyber-Physical systems (CPSs) is considered. We analyse a multi-sensor system equipped with a remote state estimation and a set of detectors. From the perspective of a malicious attacker, one intends to modify the innovation sequence by injecting a Gaussian noise and further destroys the system performance. the state estimation error covariance recursion are derived to quantify the effect of an attack. Furthermore, we study the worst-case false data injection (FDI) attack scenario, where the maximal attack probability is limited by the threshold of Kullback-Leibler divergence detector. Finally, a numerical example is shown to demonstrate the effectiveness of the worst-case FDI attack. © 2019 ieee.

关键词： State estimation

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Content based image retrieval via sparse representation and feature fusion 8

Content based image retrieval via sparse representation and ...

引用

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

作者： Liu, Han Wang, Wenqing Jiao, Pengfei Shanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'An University of Technology Xi'an710048 China

ISBN: (纸本)9781728114545

During the last two decades, content-based image retrieval (CBIR) has been widely studied. the limitations of low-level feature representation of images have been a thorny issue in image retrieval problems. In this paper, a CBIR algorithm based on sparse representation and feature fusion is proposed, in which global features and local features are combined to retrieve the images. Firstly, the GIST features are used to roughly retrieve the images with similar scene information by measuring Canberra distance. then, a representation of the local features extracted from the rough retrieval results is obtained by sparse coding and feature pooling. Finally, Euclidean distance is used to measure the similarity of the sparse feature vectors to obtain the retrieval results. the proposed method is tested on the Coil20 and Caltech256 image datasets. the experimental results demonstrate that the proposed algorithm can achieve comparable superior retrieval performance to the existing single feature-based image retrieval algorithms. © 2019 ieee.

关键词： Image fusion

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Backstepping based sliding-mode sensorless control of permanent magnet synchronous motor 8

Backstepping based sliding-mode sensorless control of perman...

引用

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

作者： Zhu, Peikun Chen, Yong Wang, Xuejian Zhang, Peng Li, Penghao Institute of Electric Vehicles Driving System and Safety Technology UESTC Chengdu611731 China Chongqing Hongjiang Machinery Co. Ltd. Chongqing402162 China

ISBN: (纸本)9781728114545

In order to solve the problem that permanent magnet synchronous motor (PMSM) can not be applied with sensors in a specific environment, considering the uncertainty of load torque, a sensorless sliding mode control of PMSM based on backstepping method is proposed. Firstly, by replacing the sign function with the sigmoid function, the high frequency buffeting caused by the traditional sliding mode observer is avoided. Secondly, the rotor speed and position are extracted by the PLL, the low-pass filter and phase compensation module are eliminated, and the sliding mode observer is designed. then, considering the uncertain influence of load torque, a backstepping control algorithm was designed to control the PMSM, and its stability was proved by Lyapunov stability analysis. Finally, the simulation is carried out on Matlab/Simulink. the results show that the sensorless control algorithm can effectively estimate rotor speed and position, the system has good dynamic and static characteristics. © 2019 ieee.

关键词： Permanent magnets

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An improved quadratic-criterion-based iterative learning control for trajectory tracking of robotic arms 8

An improved quadratic-criterion-based iterative learning con...

引用

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

作者： Zhu, Minfeng Ye, Lingjian Ma, Xiushui Zhejiang University Department of Control Science and Engineering Hangzhou310027 China Ningbo Institute of Technology Zhejiang University Ningbo315100 China

ISBN: (纸本)9781728114545

In this paper, an improved quadratic-criterion-based iterative learning control approach (Q-ILC) is proposed to obtain better trajectory tracking performance for the robotic arms. Besides of the position error information, which has been used in existing Q-ILC methods for robotic control, the velocity error information is also taken into consideration such that a new norm-optimal objective function is constructed. Convergence and error sensitivity properties for the proposed method are also analyzed. Furthermore, the Extended Kalman Filter (EKF) is utilized to estimate error states, which restrain the effects of model errors and measurement noise. Simulations on a 2DOF Robot manipulator demonstrate that our method achieves faster convergence and better transient performance, compared to the original Q-ILC. © 2019 ieee.

关键词： Extended Kalman filters

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Neural network-based finite-time trajectory tracking control of uncertain robotic manipulators 8

Neural network-based finite-time trajectory tracking control...

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

作者： Sun, Liang Liu, Yuanji He, Wei Key Laboratory for Knowledge Automation of Industrial Processes Ministry of Education School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Institute of Artificial Intelligence University of Science and Technology Beijing Beijing100083 China

ISBN: (纸本)9781728114545

the problem of finite-time trajectory tracking control is studied for rigid-link robotic manipulators. the non-singular fast terminal sliding mode controller combining with RBF neural network is designed to ensure that the tracking errors converge to a small neighborhood of zero in a finite time. the radial basis function is employed to compensate the parametric uncertainty and uncertain external disturbances. the non-singular fast terminal sliding mode control scheme is adopted to improve fast convergence of tracking errors. Moreover, the stability of system is proved rigorously in the Lyapunov framework. Numerical simulation results of two-link robot manipulators illustrate the effectiveness of the proposed controller. © 2019 ieee.

关键词： controllers

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Underwater image enhancement of improved retinex base on statistical learning 8

Underwater image enhancement of improved retinex base on sta...

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

作者： Xu, Lixue Wang, Xiubo Wang, Xudong Harbin Engineering University Department of Automation Harbin150001 China Heilongjiang Institute of Geological Surveying and Mapping Harbin China

ISBN: (纸本)9781728114545

Underwater image enhancement technology is one of the key parts of underwater image processing, Since under water environment has greater attenuation and scattering effects on reflected light than the onshore environment that lead to uneven imaging, low contrast, color decay, etc. the underwater enhancement process is intended to highlight some key information of the image and eliminate the irrelevant information so as to make the preparations for subsequent scene segmentation, target recognition, target tracking and predictive analysis and processing. In this paper, we will focus on the problem of underwater image with low quality, and analyze the typical methods of box-based image enhancement methods. At the same time, Retinex image enhancement method based on optical analysis was introduced, and this paper proposed an improved enhancement method based on the Retinex methods. First we convert the image into HSV space for saliency analysis, next, learn the parameters of the harmonic HSV space by statistical learning. And then, we use the weights obtained by learning to predict the enhancement parameter for the decay image. Finally, the experiment verified that the method had better adaptability and better effect over the traditional Retinex algorithm in underwater image enhancement. © 2019 ieee.

关键词： Image enhancement

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DCGAN based data generation for process monitoring 8

DCGAN based data generation for process monitoring

引用

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

作者： Du, Yu Zhang, Wenqian Wang, Jing Wu, Haiyan College of Information Science and Technology Beijing University of Chemical Technology Beijing China

ISBN: (纸本)9781728114545

the number of samples under fault conditions is usually much smaller than that of samples under normal conditions in chemical industry fault diagnosis field, which is called unbalanced dataset. Due to the existence of such unbalanced datasets, traditional methods are not easy to detect faults. Deep convolutional generative adversarial networks(DCGAN) is used to solve the fault data generation problem in this paper. the deep learning generation model can generate a large amount of fault data, which can be provided for subsequent fault diagnosis research and analysis. Firstly, DCGAN is proposed to generate more fault data based on the existing data. the statistical characteristics of the original data and the generated data are similar, which implies the generation ability of DCGAN performance well. the generated fault data are added to the original dataset to form a new balanced dataset. then the convolutional neural network(CNN) is used for fault classification, and the fault classification effect is verified to apply in an actual gas-solid fluidized bed equipment. © 2019 ieee.

关键词： Failure analysis

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A data-driven state observation method for atomic spin-exchange relaxation-free comagnetometer 8

A data-driven state observation method for atomic spin-excha...

引用

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

作者： Wang, Zhuo Huang, Jiong Quan, Wei Duan, Lihong Zhang, Weijia Fu, Yang Beijing Academy of Quantum Information Sciences Beijing100193 China School of Instrumentation and Optoelectronic Engineering Beihang University Beijing100190 China School of Physics Beihang University Beijing100190 China

ISBN: (纸本)9781728114545

the atomic dual-axis spin-exchange relaxation-free (SERF) comagnetometer system is investigated in this paper. We first establish a state-space model of the atomic SERF comagnetometer system according to its linearized Bloch equations, by selecting the transverse polarizations of electron spin and nuclear spin as the state variables. However, the transverse nuclear spin polarizations cannot be directly measured, which means some of the system states cannot be directly observed. To solve this problem, we propose a data-driven state observation (DDSO) method to estimate the nuclear spin polarizations in real time. Simulation results based on practical system parameters illustrate the feasibility of the DDSO method. © 2019 ieee.

关键词： Atoms

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Unified optimization of upper stability bound and tracking performance index for singularly perturbed systems 8

Unified optimization of upper stability bound and tracking p...

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

作者： Liu, Lei Liu, Yuqian Han, Cunwu Zhang, Xiaoping Beijing Key Laboratory of Fieldbus Technology and Automation North China University of Technology Beijing100144 China

ISBN: (纸本)9781728114545

In this paper, the problem of unified optimization of upper stability bound $\varepsilon^{\ast}$ and tracking performance index $J^{\ast}$ for singularly perturbed systems is considered. First, an optimal output tracking controller is given based on the method of minimum value principle, such that the original system achieves asymptotically stable and asymptotic tracking of the tracking system and the minimum value of quadratic performance index can be obtained. Furthermore, based on Nash game theory, an algorithm to optimize ($\varepsilon^{\ast}, J^{\ast}$) simultaneously which transfers multi-objective problem into a single objective problem as well we determines the objective weights. Finally, one numerical example is given to illustrate the correctness and feasibility of the proposed results. © 2019 ieee.

关键词： Multiobjective optimization

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Iterative learning control of methane steam reforming reaction in operating solid oxide fuel cell 8

Iterative learning control of methane steam reforming reacti...

引用

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

作者： Kang, Xin Chen, Yong Fan, Liyuan Huang, Deqing School of Electrical Engineering Southwest Jiaotong University Chengdu610097 China University of Melbourne Department of Chemical Engineering Parkville3010 Australia

ISBN: (纸本)9781728114545

As one kind of new power plants, solid oxide fuel cell (SOFC) possesses distinctive advantages, such as the high efficiency in energy conversion, the tiny effect towards environmental pollution, and the abundant fuel sources, etc. Nevertheless, the drastic chemical reactions inside and the high operating temperature (up to 1000°C) lead to a series of problems in structural analysis, controller design as well as safety concern of SOFC. In this paper, a novel iterative learning control (ILC) scheme are proposed for the precise management of the efficiency of methane conversion in SOFC, where the reaction temperature is selected as the control input for the single-input scenario. the learning convergence condition of ILC, the learning rate as well as the robustness are derived through rigorous analysis. the simple structure and model-free nature of ILC makes it applicable although the methane steam reforming (MSR) process is with complicated dynamics and severe potential uncertainties. the effectiveness of the proposed ILC schemes is confirmed via numerical simulations. © 2019 ieee.

关键词： Solid oxide fuel cells (SOFC)

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