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第41届中国控制会议

作者： You Wu Xiongbo Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper investigates the problem of finite-time H state estimation for discrete time-delayed genetic regulatory networks（GRNs） with observations of two hidden-Markov modes.A new GRN model with two Markov jump delays is proposed,of which the mode observations are governed by two hidden-Markov *** sufficient conditions are derived,which guarantee the finite-time boundedness of the estimation error dynamics with prescribed H disturbance attenuation *** state estimator parameters are designed by solving several matrix inequalities.A numerical example is given to illustrate the validity of our results.

关键词： Genetic regulatory networks finite-time H_∞ state estimation hidden Markov model Markov jump delays

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Prediction Method of Blast Furnace Fuel Ratio Based on Spectral Clustering and Extreme Learning Machine Model 41

Prediction Method of Blast Furnace Fuel Ratio Based on Spect...

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第41届中国控制会议

作者： Jingjie Liang Yan Yuan Shuqiao Wang Zhuofu Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

The blast furnace fuel ratio,as the main index reflecting the blast furnace fuel consumption,plays an important role in guiding blast furnace *** order to solve the problem of insufficient stability of the existing fuel ratio prediction model under the condition of process parameters fluctuation,a prediction method of blast furnace fuel ratio based on spectral clustering and extreme learning machine model is ***,on the basis of analyzing the influencing factors of fuel ratio,the classification results after clustering are visualized with t-SNE dimension reduction downscaling and spectral clustering method;Secondly,for the classification results after clustering,the extreme learning machine is used to establish the sub-models,and the PSO algorithm was used to optimize the input weights of hidden layer and the bias of hidden layer *** results show that the proposed method has high prediction accuracy.

关键词： Fuel Ratio Spectral Clustering Extreme Learning Machine(ELM) t-SNE Particle Swarm Optimization(PSO)

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Multi-Agent Cooperative Localization via Extraction and Matching of Image Feature 41

Multi-Agent Cooperative Localization via Extraction and Matc...

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第41届中国控制会议

作者： Xiong Lei Yulin Xu Chao Zhai School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In multi-agent system(MAS),it is of great significance to study the problem of cooperative *** this work,we propose a vision-based cooperative localization scheme for multi-agent systems equipped with RGB-D ***,we formulate the cooperative localization problem of ***,the relative pose between agents with overlapping field of view in MAS can be solved by using an improved feature extraction and matching algorithm,which requires the index function to screen the unimportant feature points in the image to reduce the computation *** system does not require all agents to have a common area of view,and we can calculate the relative pose between agents whose field of view does not overlap at all by accumulating the ***,experiments are carried out to validate the effectiveness and feasibility of this method.

关键词： Multi-agent system Cooperative localization Feature extraction and matching Index function

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Optimal Allocation of Energy Storage in Smart Park Distribution Network for Power Fluctuation Regulation of Tie Line Oriented to Source-load Uncertainty 41

Optimal Allocation of Energy Storage in Smart Park Distribut...

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第41届中国控制会议

作者： Wenhe Peng Zhijian Fang Jie Cai School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

The randomness of photovoltaic power generation and the disorder of electric vehicle charging have a significant impact on the transmission capacity of the smart park tie *** storage can help to stabilize the power fluctuation of the tie line and improve distribution network operation *** this paper,the park's source and load uncertainty models are established to determine the original transmission power of the distribution network tie line,and then the tie line's power control model is established to ensure that the power fluctuation rate of the distribution network tie line varies within a certain *** power required for hybrid energy storage stabilization is calculated,and the high-pass filtering algorithm is used to allocate *** amount of power required to stabilize the supercapacitor and lithium battery is *** hybrid energy storage capacity configuration model is built on top of *** hybrid energy storage constraints are constructed using the maximum annual income of the hybrid energy storage as the objective function,and the adaptive particle swarm optimization(APSO) is used to solve the problem,resulting in the hybrid energy storage's optimal capacity ***,an example is used to simulate the *** simulation results show that this method can keep the tie line's power fluctuation rate within a narrow range as much as possible,which can be used as a reference for a smart park's energy storage configuration.

关键词： photovoltaic power generation electric vehicles hybrid energy storage tie-line power fluctuation adaptive particle swarm optimization

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Visual enhancement by spectral optimization of light sources 8

Visual enhancement by spectral optimization of light sources

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8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and control Applications, ISCIIA and ITCA 2018

作者： Jin, Xing Cheng, Xianghui Yang, Xiang Zhang, Jinjin School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

The visualization of an object image is directly affected by the spectral power distribution of the illuminated light source. In addition, the quality and the clarity of an object image can be evaluated by the color entropy value. Therefore, in order to obtain higher color entropy value of the target object image, a visual enhancement method is proposed by optimizing the spectral of the illumination. The optimal light source spectrum of the target image is obtained by the maximum color entropy, and the spectral reflectance of the object is obtained by the reconstruction method of the RBF neural network. The images under the optimal illumination source were compared with those of other commercial white light sources (6774K, 5000K, 2700K, 3000K,). The result shows that the optimized light source has a better visual effect and the lines in the image are more apparent. © ISCIIA and ITCA 2018 - 8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and control Application.

关键词： Light sources

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State Estimation for Static Neural Networks with Time-Varying Delay via Quadratic Function Negative-Determination Lemma 41

State Estimation for Static Neural Networks with Time-Varyin...

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第41届中国控制会议

作者： Yong-He Lao Du Xiong Li Jin Chuan-Ke Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

The H performance state estimation for static neural networks with time-varying delays is studied in this ***,an augmented Lyapunov-Krasovskii functional（LKF） with the triple integral term and the delay-product-type term is ***,a generalized reciprocally convex matrix inequality is employed to deal with the derivative of the *** that,by utilizing the relaxed quadratic function negative-definiteness determination method to dispose of the time derivative of the delay-product-type term,a less conservative state estimation criterion is ***,the effectiveness of the proposed method is shown through a numerical example.

关键词： Static Neural Networks State Estimation Time-Varying Delay Reciprocally Convex Matrix Inequality Quadratic Function Negative-Determination Lemma

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From Parallel Plants to Smart Plants:intelligent control and Management for Plant Growth

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IEEE/CAA Journal of Automatica Sinica 2017年第2期4卷 161-166页

作者： Mengzhen Kang Fei-Yue Wang State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences (SKL-MCCSCASIA) Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology IEEE State Key Laboratory of Management and Control for Complex Systems (SKL-MCCS) Institute of AutomationChinese Academy of Sciences (CASIA) School of Computer and Control Engineering University of Chinese Academy of Sciences Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology

Precision management of agricultural systems, aiming at optimizing profitability, productivity and sustainability, comprises a set of technologies including sensors, information systems, and informed management, etc. Expert systems are expected to aid farmers in plant management or environment control, but they are mostly based on the offline and static information, deviated from the actual situation. Parallel management, achieved by virtual/artificial agricultural system, computational experiment and parallel execution, provides a generic framework of solution for online decision support. In this paper, we present the three steps toward the parallel management of plant: growth description U+0028 the crop model U+0029, prediction, and prescription. This approach can update the expert system by adding learning ability and the adaption of knowledge database according to the descriptive and predictive model. The possibilities of passing the knowledge of experienced farmers to younger generation, as well as the application to the parallel breeding of plant through such system, are discussed. © 2017 Chinese Association of automation.

关键词： Agriculture Artificial intelligence Decision support systems Expert systems Sustainable development

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Wavelength Selective Mode Converter Using Grating Assisted Anti-reflection Contra-asymmetric Directional Couplers 8

Wavelength Selective Mode Converter Using Grating Assisted A...

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8th Optoelectronics Global Conference, OGC 2023

作者： Zeng, Duowei Ye, Mengyuan Chen, Yang Ma, Hong Liu, Jie China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation Wuhan430074 China

ISBN: (纸本)9798350325324

We propose and demonstrate a wavelength selective mode converter on silicon integrated platform. By utilizing grating assisted anti-reflection contra-asymmetric directional couplers (CADCs), wavelength selective TE0-TE1 mode conversion could be achieved. Simulation results show that the operation wavelength is 1544.8 nm and 3 dB bandwidth is 8.3 nm. Insertion loss of the proposed device is simulated to be 0.29dB and the crosstalk is less than -50dB. The proposed device can be used in mode division multiplexing (MDM) wavelength division multiplexing (WDM) communication network. © 2023 IEEE.

关键词： Directional couplers

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Design and control of a Virtual Teacher with Individual Motor Signature 41

Design and Control of a Virtual Teacher with Individual Moto...

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第41届中国控制会议

作者： Siyuan Li Chao Zhai School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this work,a virtual teacher is designed to play the mirror game with human *** individual motor signature is taken into account,which allows to produce diverse teaching *** teaching effect of virtual teacher is assessed by comparing and analyzing the original movement characteristics of human players and the movement characteristics after going through the teaching ***,stability analysis of the teaching model is ***,the feasibility of the model is verified by comparing the data of several groups of samples.

关键词： Virtual teacher Joint action Motor coordination Motor signature control design

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Voltage Sensitivity of Tag Antennas for Inductively Coupled RFID systems 2

Voltage Sensitivity of Tag Antennas for Inductively Coupled ...

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2020 2nd International Conference on Electronics and Communication, Network and Computer Technology, ECNCT 2020

作者： Jin, Cheng Zhu, Jixuan Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

This paper describes a parameter of voltage sensitivity to recognize the performance differences of tag antennas for inductively coupled RFID systems. Based on the equivalent circuit model of the RFID tag and reader, an expression for the voltage sensitivity is educed. Then, the design steps of measuring platform to obtain the voltage sensitivity of tag antenna are introduced in detail. Finally, the feasibility of the proposed method was verified with the market available tag antennas through the measuring platform. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Equivalent circuits

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