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第36届中国控制会议

作者： Lu Li Xin Chen Wei Wang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

ISBN: (纸本)9781538629185

Adaptive Dynamic Programming（ADP） with critic-actor architecture is a useful way to achieve online learning *** algorithm Gaussian-Kernel Adaptive Dynamic Programming（GK-ADP） that has been developed before has a kind of two-phase iteration,which not only approximates value function,but also optimizes hyper-parameters ***,just like most iteration algorithms are applied in practice,the scale of sample set will increase as the complexity of the system increases,and it will induce a high computation *** order to speed up computation,a practical acceleration method using parallel computation for GK-ADP is presented in this *** realize parallel computation,a high efficient configuration based on CUDA is designed,in which a group of GPUs work in parallel to compute the most complex part of *** comparison test illustrates that the computation burden which hinders GK-ADP’s application is reduced to a large extent when the parallel computing is introduced.

关键词： Gaussian-Kernel Adaptive Dynamic Programming CUDA Parallel Computing GPU

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Distribution system state estimation: an overview of recent developments

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Frontiers of Information Technology & Electronic Engineering 2019年第1期20卷 4-17页

作者： Wang Gang Giannakis Georgios B Chen Jie Sun Jian Department of Electrical and Computer Engineering and Digital Technology Center University of Minnesota USA Minneapolis MN 55455 School of Automation Beijing Institute of Technology Beijing 100081 Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081

In the envisioned smart grid, high penetration of uncertain renewables, unpredictable participation of (industrial) customers, and purposeful manipulation of smart meter readings, all highlight the need for accurate, fast, and robust power system state estimation (PSSE). Nonetheless, most real-time data available in the current and upcoming transmission/distribution systems are nonlinear in power system states (i.e., nodal voltage phasors). Scalable approaches to dealing with PSSE tasks undergo a paradigm shift toward addressing the unique modeling and computational challenges associated with those nonlinear measurements. In this study, we provide a contemporary overview of PSSE and describe the current state of the art in the nonlinear weighted least-squares and least-absolutevalue PSSE. To benchmark the performance of unbiased estimators, the Cramer-Rao lower bound is developed. Accounting for cyber attacks, new corruption models are introduced, and robust PSSE approaches are outlined as well. Finally, distribution system state estimation is discussed along with its current challenges. Simulation tests corroborate the effectiveness of the developed algorithms as well as the practical merits of the theory.

关键词： State estimation Cramer-Rao bound Feasible point pursuit Semidefinite relaxation Proximal linear algorithm Composite optimization Cyber attack Bad data detection

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Short-term Wind Power Prediction by Using Empirical Mode Decomposition Based GA-SVR 36

Short-term Wind Power Prediction by Using Empirical Mode Dec...

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第36届中国控制会议

作者： Hua Xie Min Ding Luefeng Chen Jianqi An Zhangbing Chen Min Wu School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

ISBN: (纸本)9781538629185

Accurate short-term wind power prediction can improve the trade and the dispatch level of wind *** predict the short-term wind power,we investigated the empirical mode decomposition（EMD） of numerical weather prediction（NWP） and genetic algorithm（GA） optimization of support vector regression（SVR）.First,the wind speed data from NWP is decomposed into the EMD components,including multiple intrinsic mode functions（IMFs） and one ***,a genetic algorithmsupport vector regression model（GA-SVR） is used to build models of all ***,the prediction results of all components are integrated,which as input of wind-power curve for obtain the predicted value of wind *** order to validate the proposed method,one real-world dataset was used for model training and testing,and the results show that the proposed method is more accurate and effective than SVR and back propagation neural networks（BPNN）.

关键词： Wind Power Prediction Empirical Mode Decomposition Support Vector Regression Genetic Algorithm Fast Fourier Transform Wavelet Filter

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Performance Diagnosis of controller Based on Eigenvector Subspace K-mean Clustering 36

Performance Diagnosis of Controller Based on Eigenvector Sub...

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第36届中国控制会议

作者： Man Hao Wei-Hua Cao Min Wu Yan Yuan Zhen-Tao Liu School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

ISBN: (纸本)9781538629185

To diagnose the specific reasons that lead to deterioration of controller performance and improve the diagnostic accuracy,a performance diagnosis method based on eigenvector subspace K-mean clustering is ***,the number of standard deterioration performance subspace with different degrees of deterioration information is increased on the basis of the eigenvector subspace distance diagnosis method,in which multiple distance values between eigenvector subspaces are ***,K-mean clustering is used to divide these distance values into two classes,and the clustering center with a maximum number of points is selected as the representative ***,current performance degradation factor is attributed to the category that represented by the nearest standard performance *** simulation,a double-tank model is established,and simulation result shows that average accuracy of controller performance diagnosis reaches 99.4%approximately.

关键词： controller performance performance diagnosis eigenvector subspace K-mean clustering

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A new method for hybrid diagnosis and tuning of coaxial cavity filter 36

A new method for hybrid diagnosis and tuning of coaxial cavi...

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第36届中国控制会议

作者： Shengbiao Wu Can Liu Weihua Cao Min Wu School of Automation China University of Geoscience Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

ISBN: (纸本)9781538629185

This paper presents a hybrid diagnosis and tuning method of coaxial cavity filter based on experience and *** method is based on the experience of skilled staff at the initial stage of tuning,and put the bandpass and echo curve of the filter to the frequency *** the second stages of the tuning,the phase shift is removed,which is caused by the transmission line and the higher order mode at first,then the loss factor of the filter is ***,we use the improved Cauchy method and filter synthesis knowledge to realize the coupling matrix ***,the implicit space mapping algorithm is used to establish the mapping relationship between the coupling matrix variation and the screw variation,in order to guide the tuning amplitude and direction by the coupling *** show that this method has better effects on saving tuning time and reducing tuning difficulties,and it has certain popularization value for the batch production of the filter.

关键词： Coaxial cavity Cauchy method implicit space mapping coupling matrix

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New Result for Synchronization of Chaotic Lur'e systems with Time Delay Using Sampled-data control 36

New Result for Synchronization of Chaotic Lur'e Systems with...

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第36届中国控制会议

作者： SHANGGUAN Xingchen HE Yong ZHANG Chuanke WU Min School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

ISBN: (纸本)9781538629185

This paper investigates synchronization problem of two identical chaotic Lur'e systems with time delay using sampleddata control. Firstly, a novel piecewise Lyapunov-Krasovskii function(LKF), which considers fully useful information of the systems and their cross terms, is introduced. Secondly, a new synchronization criterion is developed in terms of linear matrix inequalities(LMIs) by discarding the positive definite constraint of the piecewise LKF. Then, maximal sampling interval and corresponding controller are obtained. At last, case study based on a typical Chua's circuit is carried out to verify the effectiveness and advantages of the proposed method.

关键词： Chaotic Lur'e system Sampled-data control Synchronization Time delay Piecewise functional

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Speaker-independent Speech Emotion Recognition Based on Random Forest Feature Selection Algorithm 36

Speaker-independent Speech Emotion Recognition Based on Rand...

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第36届中国控制会议

作者： Wei-Hua Cao Jian-Ping Xu Zhen-Tao Liu School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

ISBN: (纸本)9781538629185

Feature selection is a crucial step in the development of a system for identifying emotions in *** to select high correlation features is an open *** paper focuses on feature selection method which aims to extract the most effective acoustic features to improve the performance of emotion *** feature selection of speakerindependent speech based on Random Forest is proposed,which can remove the redundant features that have high correlations with each *** on the speech emotion recognition based on Support Vector Machines(SVM) is performed,where the speaker-independent features selected by the proposal and Spearman correlation analysis are used for emotion recognition,*** results show that the proposal achieves 78.6%recognition rate on average,which is 2.2%higher than using Spearman.

关键词： Emotion Recognition Speech Speaker-independent Feature Selection Random Forest

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Multi-layer Performance Assessment Method for Sintering Production Process control System 36

Multi-layer Performance Assessment Method for Sintering Prod...

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第36届中国控制会议

作者： Wei Jiao Xin Chen Min Wu Wei Hua Cao School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

ISBN: (纸本)9781538629185

According to the hierarchical control system of sintering production process,a multi-layer performance assessment method is *** discuss the structure,function and technology used of multi-layer performance assessment strategy which is composed of sintering comprehensive coke ratio(CCR) assessment module,sintering ignition assessment module and fuzzy synthetic decision-making *** multi-layer performance assessment for sintering production process control system is realized based on sintering CCR prediction model,performance assessment method for sintering ignition control,and fuzzy synthetic evaluation *** proposed multi-layer performance assessment method is implemented on the simulation platform of the sintering production process in the laboratory,which effectively realized the performance assessment for sintering production process plant level control system,and then provides effective information for the staff to maintain the control system.

关键词： Hierarchical control system Performance assessment method Fuzzy synthetic evaluation Comprehensive coke ratio Sintering ignition control

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Improved stabilization conditions for T-S fuzzy systems with interval time-varying delay 36

Improved stabilization conditions for T-S fuzzy systems with...

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第36届中国控制会议

作者： LIAN Zhi HE Yong ZHANG Chuanke WU Min School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

ISBN: (纸本)9781538629185

This paper is concerned with the stabilization problem for T-S fuzzy system with interval time-varying delay. By constructing a novel augmented LKF and using a developed reciprocally convex matrix inequality proposed in this paper to bound the derivative of the LKF, a delay-dependent stabilization condition based on parallel distributed compensation scheme is worked out for the closed-loop fuzzy system. Two numerical examples and an application to control of a truck-trailer are given to illustrate the effectiveness of our method.

关键词： Fuzzy systems Delay-dependent Stabilization Reciprocally convex matrix inequality

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Establishment and Optimization of Gas Flow Prediction Model for Annealing Furnace Based on GA-SVM 37

Establishment and Optimization of Gas Flow Prediction Model ...

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37th Chinese control Conference, CCC 2018

作者： Qu, Qilin Yuan, Yan Yali, Jin Zhang, Yongyue China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Wuhan430074 China School of Information Science and Engineering Central South University Changsha410083 China

ISBN: (纸本)9789881563941

T0616. The temperature accuracy of the steel coil is directly affected the production quality of the steel plate. In the annealing furnace temperature control system, strip temperature control is mainly decided by various furnace annealing furnace gas flow in the area, so setting up a precise model between gas flow and temperature has become an important problem of the control system of annealing furnace. In this paper, SVM is applied to the prediction model of the gas flow in the annealing furnace since it's suitable for nonlinear and high dimensional problems as a machine learning method. In view of that the choice of C, G and the model parameters of the SVM directly affect the prediction precision of the model, this paper uses GA to optimize these two parameters. Finally, we use the data of field production as training and testing samples to establish and verify the model. The experimental results showed that the established model well achieved the requirements of the accuracy of the target. © 2018 Technical Committee on control Theory, Chinese Association of automation.

关键词： Flow of gases

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