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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121-130 订阅

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A kind of arbitrary signal generator based on 1D generative adversarial network 8

A kind of arbitrary signal generator based on 1D generative ...

引用

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

作者： Cui, Lizhi Zhao, Peichao Wang, Keping Yang, Junqi Bu, Xuhui Key Laboratory of Control Engineering of Henan Province Henan Polytechnic University Henan Jiaozuo454000 China School of Electrical Engineering and Automation Henan Polytechnic University Henan Jiaozuo454000 China

ISBN: (纸本)9781728114545

Mathematical description of a complex signal is very pivotal but nearly impossible in many engineering cases. the emergency of the Generative Adversarial Network (GAN) shows the possibility to train a signal network to be an Arbitrary Signal Generator (ASG), which is only controlled by a random vector with several elements. this paper designs an ASG model based on 1D GAN, which is suitable for calculation of signal or curve with only one dimension. then, two sets of sine wave and triangular wave are generated by program as the training samples for the ASG model. Several experiments with the different combinations of the training samples and model parameters show that it is possible to use 1D GAN to build an ASG model. Finally, the successful experience about building an ASG is concluded and research directions are discussed in the last section. © 2019 ieee.

关键词： Signal generators

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Time delay estimation based model reference adaptive control for robot manipulators 8

Time delay estimation based model reference adaptive control...

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

作者： Ahmed, Saim Wang, Haoping Tian, Yang Nanjing 210094 China

ISBN: (纸本)9781728114545

Generally model-reference adaptive control (MRAC) is designed using known regression matrix. However, the formulation of regression matrix is difficult for more degree of freedoms (DOFs) of robot manipulator and sometime impossible to compute for many applications. In this work, MRAC using time delay estimation (TDE) named (MRAC-TDE) is proposed to avoid complex calculation of regression matrix and provides model-free control. therefore, TDE is devised to estimate the unknown dynamics and MRAC is used to update the control gains. the closed-loop stability of system is investigated using the Lyapunov stability criterion. In the end, to validate the effectiveness of the proposed method, simulations are illustrated the appropriateness of proposed MRAC-TDE. © 2019 ieee.

关键词： Model reference adaptive control

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An improved MPC integrating fuzzy PI of an MMC-HVDC system 8

An improved MPC integrating fuzzy PI of an MMC-HVDC system

引用

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

作者： Dong, Jungen Jia, Minghui Han, Yongmin Geng, Zhiqiang Zhong, Yanhua Engineering Research Center of Intelligent PSE Ministry of Education in China Harbin150001 China College of Information Science Technology Beijing University of Chemical Technology Beijing100029 China Jiangmen Polytechnic Jiangmen Guangdong529020 China

ISBN: (纸本)9781728114545

Modular multilevel converter (MMC) has been widely used in high-voltage and high-power transmission because of its high efficiency, low harmonics and low switching frequency. Model predictive control (MPC) can well overcome the difficulty of PI controller parameter tuning and overshooting. However, when the traditional MPC is applied in MMC systems with a great number of submodules, the times of rolling optimizations is too many to realize real-time control. And the existing MPC in the MMC system is to replace the inner loop controller with the MPC, and still retain the outer loop PI controller. therefore, an MPC integrating the fuzzy PI is proposed. the accuracy requirement of parameter tuning of outer loop controller is reduced by the fuzzy PI control, and then the number of rolling optimizations of the inner control system are reduced by the double-layer MPC. Finally, a 101-level MMC-HVDC system is set up in PSCAD/EMTDC to confirm the feasibility and validity of the method. © 2019 ieee.

关键词： Model predictive control

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Experimental comparison of some classical distance measures for time series data in simulation model validation 8

Experimental comparison of some classical distance measures ...

引用

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

作者： Yang, Xiaojun Xu, Zhongfu Ouyang, Haibo Zhang, Xing Luoyang Electronic Equipment Test Center of China Luoyang He'nan471003 China

ISBN: (纸本)9781728114545

the comparison of simulation-generated time series with observed data is a basic problem in simulation model validation field. Many distance measure methods have been proposed or used by a number of modelers and users to validate simulation models for several decades. However, efforts to evaluate the performance of these methods are rarely published, especially on large datasets. therefore, in this paper, the accuracies of some classical distance measures in simulation model validation are tested and evaluated on the latest UCR time series archive. Experimental results suggest that theil's inequality coefficient and Manhattan distance outperform other distance measures, and elastic and normalized distance measures are generally effective to reflect the underlying dissimilarity of time series data. Furthermore, we also expect our work may promote quantitative comparisons by providing a common framework for experimental research in simulation model validation community. © 2019 ieee.

关键词： Time series

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Multi-grain cascade recurrent neural network for nonlinear time-varying process soft sensor modeling 8

Multi-grain cascade recurrent neural network for nonlinear t...

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

作者： Yi, Jinjing Yao, Le Ge, Zhiqiang Song, Zhihuan State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control College of Control Science and Engineering Zhejiang University Hangzhou Zhejiang China

ISBN: (纸本)9781728114545

Soft sensor provides accurate online estimation of primary variables based on historical data of secondary variables. Recurrent neural network exhibits better performance on sequence data. Deep forest shows quite robust performance across nonlinear data from different domains. In this paper, a multi-grain cascade recurrent neural network(gcRNN) is put forward to soft sensor modeling for nonlinear time-varying processes. Based on deep forest framework, LSTM and GRU are chosen as individual learners in multi-grain moving window scanning and cascade structure to deal with sequence data. Performance of the proposed method is tested and verified on two industrial cases with different process characteristics. Compared to the PLS, RF, LSTM and GRU soft sensing approaches, the root mean squared errors (RMSE) of gcRNN are the smallest. the prediction results also illustrated that gcRNN achieves better performance for primary variable quality prediction in nonlinear time-varying processes. © 2019 ieee.

关键词： Mean square error

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Integrated position and speed control for PMSM servo system based on extended state observer 8

Integrated position and speed control for PMSM servo system ...

引用

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

作者： Wu, Chun Fu, Zijun Chen, Qiang Zhou, Dan College of Information Engineering Zhejiang University of Technology Hangzhou310023 China

ISBN: (纸本)9781728114545

the permanent magnet synchronous motor (PMSM) servo systems are widely adopted in many applications, where demand fast responses, high precision and strong ability of anti-disturbance, etc. First, this paper briefly introduce the design of sliding mode control (SMC), active disturbance rejection control (ADRC) for integrated position and speed controller for PMSM servo systems. then the SMC basd on an extended state observer (ESO) for PMSM servo system is proposed. At last, the dynamic-state, steady-state and anti-disturbance performances are compared through experimental results. And the experimental results demonstrate the SMC with ESO (SMC-ESO) can achieve faster dynamic response, smaller chattering problem and anti-disturbance performances in comparison with conventional SMC. Although the overall performances of ADRC and SMC-ESO are similar, the SMC-ESO uses less parameters than ADRC and is convenient to be realized in real embedded system. © 2019 ieee.

关键词： Sliding mode control

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A DSC based adaptive control scheme for a class of uncertain non-lower triangular nonlinear systems 8

A DSC based adaptive control scheme for a class of uncertain...

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

作者： Sun, Gang Wang, Mingxin School of Information Engineering Jiangxi University of Science and Technology Ganzhou341000 China School of Mathematical Science and Energy Engineering Hunan Institute of Technology Hengyang421002 China

ISBN: (纸本)9781728114545

An adaptive tracking controller design method is developed for a class of nonlinear systems with non-lower triangular form and linear parameterized uncertainties by combining backstepping and dynamic surface control (DSC) technology. In the design, traditional backstepping design process is used to establish control laws recursively, and unknown parameters of control laws are estimated online. By using DSC technology, the problem of circular structure of the controller is eliminated. Stability results of closed-loop system show that the uniform ultimate boundedness of closed-loop system signals can be guaranteed. Besides, the steady state tracking error of the system can be adjusted to a small neighborhood of zero by selecting appropriate control parameters. the efficacy of the designed approach is demonstrated via a numerical simulation example. © 2019 ieee.

关键词： Closed loop systems

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A regional logistics system based on connected vehicles 8

A regional logistics system based on connected vehicles

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

作者： Fang, Jing Deng, Xiaohui Ni, Haoyuan Li, Xinyu Bai, Lu Wang, Pangwei Beijing Key Lab of Urban Intelligent Traffic Control Technology North China University of Technology Beijing100144 China China Highway Engineering Consultants Corporation Beijing100089 China

ISBN: (纸本)9781728114545

With the development of intelligent transportation system, connected vehicles (CV) have become an important technology of regional logistics system. However, the increasing number of express delivery and the higher service level demanded by users have become the urgent problems to be solved. At present, the Last Station of Logistics between delivery point and delivery destination needs a lot of labors to complete, and the delivery mode cannot fully meet the demands of customers. this paper takes regional logistics transportation system as the main research object. By constructing dynamic path optimization algorithm and customized logistics mode of sending and receiving goods, a regional shared logistics transportation system is built based on CV and intelligent terminal. the application of the system in residential areas, campuses and other regional locations can improve the traffic situation to a certain extent, improve customer satisfaction, provide new delivery options for the logistics industry, optimize the overall logistics system, and realize the real intelligent logistics model. © 2019 ieee.

关键词： Vehicles

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A novel modified robust model-free adaptive control method for a class of nonlinear systems with time delay 8

A novel modified robust model-free adaptive control method f...

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

作者： Liu, Shida Hou, Zhongsheng Guo, Yuan Guo, Lei Advanced Control Systems Laboratory School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China School of Automation Qingdao University Qingdao266071 China National Key Laboratory on Aircraft Control Technology School of Automation Science and Electrical Engineering Beihang University Beijing100191 China

ISBN: (纸本)9781728114545

In this work, a novel robust model free adaptive control (Ro-MFAC) algorithm is proposed for a class of discrete nonlinear systems existing both large time delay and disturbance. the main feather of Ro-MFAC is that the controller is designed only based on the input and output data of the system by using a new dynamic linearization technique with a time-varying parameter termed pseudo gradient. Moreover, by combining a novel augmented pseudo gradient, the Ro-MFAC can effectively suppress the system disturbance, such that the Ro-MFAC has strong robustness. Meanwhile, by using the tracking differentiators, the Ro-MFAC controller can also deal with the time delay existing in the system. Furthermore, the numerical simulation results verify the effectiveness of proposed Ro-MFAC. © 2019 ieee.

关键词： controllers

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A feature extraction method based on multi-rhythmic and co-space modes for p300 potential 8

A feature extraction method based on multi-rhythmic and co-s...

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

作者： Chen, Guo Deng, Xin Tang, Yun Mi, Jianxun Li, Danni Sun, Kaiwei Key Laboratory of Data Engineering and Visual Computing Chongqing University of Posts and Telecommunications Chongqing400065 China

ISBN: (纸本)9781728114545

In order to extract the effective features of EEG data based on P300 potential and improve the classification accuracy of brain-computer interface (BCI) system, a novel method from spatial and frequency domain is proposed in this paper. that is, the multi-rhythm signal and Common Spatial Pattern (CSP) are combined to extract the feature of P300 potential. Meanwhile, this paper uses the elastic networks as classifier which combines with $l-data$ norm and $l-ieee$ norm that not only makes the coefficients sparse, but also avoids losing the inhere t structure among samples from the same class. In this paper, the public EEG data set is used to verify the proposed method and by comparing the traditional CSP method. the experimental results show that the new method provides more frequency-space-related feature information increased by 4.8% compared with the traditional CSP method. It indicates that the proposed method achieves the good performance for the P300 EEG analysis. © 2019 ieee.

关键词： Brain computer interface

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